Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Artificial intelligence on medical data : proceedings of International Symposium, ISCMM 2021 / / Mousumi Gupta [and three others], editors
| Artificial intelligence on medical data : proceedings of International Symposium, ISCMM 2021 / / Mousumi Gupta [and three others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (474 pages) |
| Disciplina | 610.285 |
| Collana | Lecture Notes in Computational Vision and Biomechanics |
| Soggetto topico |
Computer vision in medicine
Diagnostic imaging Artificial Intelligence Diagnostic Imaging - methods |
| Soggetto genere / forma | Congress. |
| ISBN | 981-19-0151-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Retinal Vessel Segmentation in Fundus Image using Low-Cost Multiple U-Net Architecture -- Imaging Radiomic-Driven Framework for Automated Cancer Investigation -- Computational image analysis of painful and pain free intervertebral disc -- Bio-medical image encryption using the modified chaotic image encryption method -- Stability of Feature Selection Algorithms -- A Database Application of Monitoring Covid-19 in India -- Walking Assistant for Vision Impaired by Using Deep Learning -- Detection of Coronavirus in Electron Microscope Imagery using Convolutional Neural Networks -- IoT & RFID based Smart Card System Integrated with Healthcare, Electricity, QR and Banking Sectors -- Face Mask Recognition Using Modular, Wavelet and Modular-Wavelet PCA -- Effective Overview of Different ML Models used for Prediction of COVID -19 Patients -- Hybrid CNN-SVM Model for Face Mask Detector to Protect from COVID -19 -- A Study on Various Medical Imaging Modalities and image fusion methods -- A Deep Learning Technique For Bi-fold Grading of an Eye Disorder DR-Diabetic Retinopathy -- Brain Tumor Detection Using Fine Tuned YOLO Model with Transfer Learning. |
| Record Nr. | UNINA-9910627275803321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Augmented Reality / / edited by Soha Maad
| Augmented Reality / / edited by Soha Maad |
| Pubbl/distr/stampa | Rijeka : , : InTech, , 2010 |
| Descrizione fisica | 1 online resource (xiii, 242 pages) : illustrations |
| Disciplina | 006.8 |
| Soggetto topico |
Augmented reality
Computer vision in medicine Human-computer interaction |
| ISBN | 953-51-5485-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910138290603321 |
| Rijeka : , : InTech, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer vision for assistive healthcare / / edited by Leo Marco and Giovanni Maria Farinella
| Computer vision for assistive healthcare / / edited by Leo Marco and Giovanni Maria Farinella |
| Pubbl/distr/stampa | London, United Kingdom : , : Academic Press, an imprint of Elsevier, , [2018] |
| Descrizione fisica | 1 online resource (398 pages) |
| Disciplina | 616.0754 |
| Soggetto topico | Computer vision in medicine |
| ISBN |
0-12-813446-1
0-12-813445-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computer vision for sight / Feng Hu, Hao Tang, Aleksandr Tsema, Zhigang Zhu -- Computer vision for cognition / Corneliu Florea, Laura Florea, Constantin Vertan -- Real-time 3D tracker in robot-based neurorehabilitation / Fabio Stroppa, Mine Saraç Stroppa, Simone Marcheschi, Claudio Loconsole, Edoardo Sotgiu, Massimiliano Solazzi, Domenico Buongiorno, Antonio Frisoli -- Computer vision and machine learning for surgical instrument tracking / Nicola Rieke, Federico Tombari, Nassir Navab -- Computer vision for human-machine interaction / Qiuhong Ke, Jun Liu, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid -- Computer vision for ambient assisted living / Sara Colantonio, Giuseppe Coppini, Daniela Giorgi, Maria-Aurora Morales, Maria A. Pascali, -- Computer vision for egocentric (first-person) vision / Mariella Dimiccoli -- Computer vision for augmentative and alternative communication / Sethuraman Panchanathan, Meredith Moore, Hemanth Venkateswara, Shayok Chakraborty, Troy McDaniel -- Computer vision for lifelogging / Peng Wang, Lifeng Sun, Alan F. Smeaton, Cathal Gurrin, Shiqiang Yang, -- Computational analysis of affect, personality, and engagement in human-robot interactions / Oya Celiktutan, Evangelos Sariyanidi, Hatice Gunes -- On modeling and analyzing crowds from videos / Nicola Conci, Niccoló Bisagno, Andrea Cavallaro -- Designing assistive tools for the market / Manuela Chessa, Nicoletta Noceti, Chiara Martini, Fabio Solari, Francesca Odone. |
| Record Nr. | UNINA-9910583329903321 |
| London, United Kingdom : , : Academic Press, an imprint of Elsevier, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer vision in medical imaging / / editor, C.H. Chen
| Computer vision in medical imaging / / editor, C.H. Chen |
| Pubbl/distr/stampa | New Jersey : , : World Scientific, , [2014] |
| Descrizione fisica | 1 online resource (xiii, 393 pages) : illustrations (some color) |
| Disciplina | 006.37 |
| Collana | Series in computer vision |
| Soggetto topico |
Diagnostic imaging - Data processing
Computer vision in medicine |
| ISBN | 981-4460-94-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; CONTENTS; Chapter 1 An Introduction to Computer Vision in Medical Imaging Chi Hau Chen; 1. Introduction; 2. Some Medical Imaging Methods; 2.1. X-ray; 2.2. Magnetic Resonance Image (MRI); 2.3. Intravascular Ultrasound (IVUS); 3. Roles of Computer Vision, Image Processing and Pattern Recognition; 4. Active Contours; 4.1. Snakes; 4.2. Level set methods; 4.3. Geodesic active contours; 4.4. Region-based active contours; 4.5. Hybrid evolution method; 4.6. IVUS image segmentation; 5. Concluding Remarks; Acknowledgment; References; Part 1 Theory and Methodologies
Chapter 2 Distribution Matching Approaches to Medical Image Segmentation Ismail Ben Ayed1. Introduction; 2. Formulations; 3. Optimization Aspects; 3.1. Specialized optimizers; 3.2. Derivative-based optimizers; 3.2.1. Active curves and level sets; 3.2.2. Line search and trust region methods; 3.3. Bound optimizers; 3.3.1. Graph cuts; 3.3.2. Convex-relaxation techniques; 4. Medical Imaging Applications; 4.1. Left ventricle segmentation in cardiac images; 4.1.1. Example; 4.2. Vertebral-body segmentation in spine images; 4.2.1. Example; 4.3. Brain tumor segmentation; 5. Conclusion and Outlook ReferencesChapter 3 Digital Pathology in Medical Imaging Bikash Sabata, Chukka Srinivas, Pascal Bamford and Gerardo Fernandez; 1. Introduction; A. Subtyping and the role of digital pathology; B. Quantification of IHC markers; C. Tissue and stain variability; D. Rules-based segmentation and identification; E. Learning from image data examples; F. Object-based learning models; G. Membrane detection algorithms; H. HER2 Dual ISH slide scoring algorithm; 2. DP Enabled Applications; 3. Multiplexed Quantification; 4. Quantification Algorithms; 5. Summary; Acknowledgment; References Chapter 4 Adaptive Shape Prior Modeling via Online Dictionary Learning Shaoting Zhang, Yiqiang Zhan, Yan Zhou and Dimitris Metaxas1. Introduction; 2. Relevant Work; 3. Methodology; 3.1. Sparse Shape Composition; 3.2. Shape Dictionary Learning; 3.3. Online Shape Dictionary Update; 4. Experiments; 4.1. Lung Localization; 4.2. Real-time Left Ventricle Tracking; 5. Conclusions; References; Chapter 5 Feature-Centric Lesion Detection and Retrieval in Thoracic Images Yang Song, Weidong Cai, Stefan Eberl, Michael J Fulham and David Dagan Feng; 1. Lesion Detection; 1.1. Review of State-of-the-art 1.2. Region-based Feature Classification1.2.1. Region Type Identification; 1.2.2. Region Type Refinement; 1.2.3. 3D Object Localization; 1.3. Multi-stage Discriminative Model; 1.3.1. Abnormality Detection; 1.3.2. Tumor and Lymph Node Differentiation; 1.3.3. Tumor Region Refinement; 1.3.4. Experimental Results; 1.4. Data Adaptive Structure Estimation; 1.4.1. Initial Abnormality Detection; 1.4.2. Adaptive Structure Estimation; 1.4.3. Feature Extraction and Classification; 1.4.4. Experimental Results; 2. Thoracic Image Retrieval; 2.1. Review of State-of-the-art 2.2. Pathological Feature Description |
| Record Nr. | UNINA-9910790748003321 |
| New Jersey : , : World Scientific, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer vision in medical imaging / / editor, C.H. Chen
| Computer vision in medical imaging / / editor, C.H. Chen |
| Pubbl/distr/stampa | New Jersey : , : World Scientific, , [2014] |
| Descrizione fisica | 1 online resource (xiii, 393 pages) : illustrations (some color) |
| Disciplina | 006.37 |
| Collana | Series in computer vision |
| Soggetto topico |
Diagnostic imaging - Data processing
Computer vision in medicine |
| ISBN | 981-4460-94-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; CONTENTS; Chapter 1 An Introduction to Computer Vision in Medical Imaging Chi Hau Chen; 1. Introduction; 2. Some Medical Imaging Methods; 2.1. X-ray; 2.2. Magnetic Resonance Image (MRI); 2.3. Intravascular Ultrasound (IVUS); 3. Roles of Computer Vision, Image Processing and Pattern Recognition; 4. Active Contours; 4.1. Snakes; 4.2. Level set methods; 4.3. Geodesic active contours; 4.4. Region-based active contours; 4.5. Hybrid evolution method; 4.6. IVUS image segmentation; 5. Concluding Remarks; Acknowledgment; References; Part 1 Theory and Methodologies
Chapter 2 Distribution Matching Approaches to Medical Image Segmentation Ismail Ben Ayed1. Introduction; 2. Formulations; 3. Optimization Aspects; 3.1. Specialized optimizers; 3.2. Derivative-based optimizers; 3.2.1. Active curves and level sets; 3.2.2. Line search and trust region methods; 3.3. Bound optimizers; 3.3.1. Graph cuts; 3.3.2. Convex-relaxation techniques; 4. Medical Imaging Applications; 4.1. Left ventricle segmentation in cardiac images; 4.1.1. Example; 4.2. Vertebral-body segmentation in spine images; 4.2.1. Example; 4.3. Brain tumor segmentation; 5. Conclusion and Outlook ReferencesChapter 3 Digital Pathology in Medical Imaging Bikash Sabata, Chukka Srinivas, Pascal Bamford and Gerardo Fernandez; 1. Introduction; A. Subtyping and the role of digital pathology; B. Quantification of IHC markers; C. Tissue and stain variability; D. Rules-based segmentation and identification; E. Learning from image data examples; F. Object-based learning models; G. Membrane detection algorithms; H. HER2 Dual ISH slide scoring algorithm; 2. DP Enabled Applications; 3. Multiplexed Quantification; 4. Quantification Algorithms; 5. Summary; Acknowledgment; References Chapter 4 Adaptive Shape Prior Modeling via Online Dictionary Learning Shaoting Zhang, Yiqiang Zhan, Yan Zhou and Dimitris Metaxas1. Introduction; 2. Relevant Work; 3. Methodology; 3.1. Sparse Shape Composition; 3.2. Shape Dictionary Learning; 3.3. Online Shape Dictionary Update; 4. Experiments; 4.1. Lung Localization; 4.2. Real-time Left Ventricle Tracking; 5. Conclusions; References; Chapter 5 Feature-Centric Lesion Detection and Retrieval in Thoracic Images Yang Song, Weidong Cai, Stefan Eberl, Michael J Fulham and David Dagan Feng; 1. Lesion Detection; 1.1. Review of State-of-the-art 1.2. Region-based Feature Classification1.2.1. Region Type Identification; 1.2.2. Region Type Refinement; 1.2.3. 3D Object Localization; 1.3. Multi-stage Discriminative Model; 1.3.1. Abnormality Detection; 1.3.2. Tumor and Lymph Node Differentiation; 1.3.3. Tumor Region Refinement; 1.3.4. Experimental Results; 1.4. Data Adaptive Structure Estimation; 1.4.1. Initial Abnormality Detection; 1.4.2. Adaptive Structure Estimation; 1.4.3. Feature Extraction and Classification; 1.4.4. Experimental Results; 2. Thoracic Image Retrieval; 2.1. Review of State-of-the-art 2.2. Pathological Feature Description |
| Record Nr. | UNINA-9910825001503321 |
| New Jersey : , : World Scientific, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer vision, virtual reality, and robotics in medicine : first international conference, CVRMed '95, Nice, France, April 3-6, 1995 : proceedings / / Nicholas Ayache, ed
| Computer vision, virtual reality, and robotics in medicine : first international conference, CVRMed '95, Nice, France, April 3-6, 1995 : proceedings / / Nicholas Ayache, ed |
| Edizione | [1st ed. 1995.] |
| Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer-Verlag, , [1995] |
| Descrizione fisica | 1 online resource (XIV, 574 p.) |
| Disciplina | 610/.285/6 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Virtual reality in medicine
Robotics in medicine Computer vision in medicine |
| ISBN | 3-540-49197-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466126603316 |
| Berlin, Germany ; ; New York, New York : , : Springer-Verlag, , [1995] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Decision forests for computer vision and medical image analysis / / A. Criminisi, J. Shotton, editors
| Decision forests for computer vision and medical image analysis / / A. Criminisi, J. Shotton, editors |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | London : , : Springer, , 2013 |
| Descrizione fisica | 1 online resource (xix, 368 pages) : illustrations (some color) |
| Disciplina | 511.52 |
| Collana | Advances in Computer Vision and Pattern Recognition |
| Soggetto topico |
Decision trees
Computer vision Computer vision in medicine Image processing - Digital techniques Diagnostic imaging - Digital techniques |
| ISBN |
1-299-33614-0
1-4471-4929-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Overview and Scope -- Notation and Terminology -- Part I: The Decision Forest Model -- Introduction -- Classification Forests -- Regression Forests -- Density Forests -- Manifold Forests -- Semi-Supervised Classification Forests -- Part II: Applications in Computer Vision and Medical Image Analysis -- Keypoint Recognition Using Random Forests and Random Ferns -- Extremely Randomized Trees and Random Subwindows for Image Classification, Annotation, and Retrieval -- Class-Specific Hough Forests for Object Detection -- Hough-Based Tracking of Deformable Objects -- Efficient Human Pose Estimation from Single Depth Images -- Anatomy Detection and Localization in 3D Medical Images -- Semantic Texton Forests for Image Categorization and Segmentation -- Semi-Supervised Video Segmentation Using Decision Forests -- Classification Forests for Semantic Segmentation of Brain Lesions in Multi-Channel MRI -- Manifold Forests for Multi-Modality Classification of Alzheimer’s Disease -- Entangled Forests and Differentiable Information Gain Maximization -- Decision Tree Fields -- Part III: Implementation and Conclusion -- Efficient Implementation of Decision Forests -- The Sherwood Software Library -- Conclusions. |
| Record Nr. | UNINA-9910437568003321 |
| London : , : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent vision in healthcare / / edited by Mukesh Saraswat, Harish Sharma, Karm Veer Arya
| Intelligent vision in healthcare / / edited by Mukesh Saraswat, Harish Sharma, Karm Veer Arya |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (161 pages) |
| Disciplina | 610.285 |
| Collana | Studies in autonomic, data-driven and industrial computing |
| Soggetto topico |
Artificial intelligence - Medical applications
Computer vision in medicine |
| ISBN |
981-16-7770-0
981-16-7771-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743357903321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Medical image analysis
| Medical image analysis |
| Pubbl/distr/stampa | [Oxford, England], : Oxford University Press, 1996- |
| Disciplina | 610.28 |
| Soggetto topico |
Imaging systems in medicine
Image processing Computer vision in medicine Image processing - Periodicals Diagnostic imaging Magnetic resonance imaging Nuclear medicine Tomography, X-Ray Computed Diagnostic Imaging Magnetic Resonance Imaging Ultrasonography Nuclear Medicine Imagerie médicale Traitement d'images - Périodiques Vision par ordinateur en médecine Traitement d'images Imagerie pour le diagnostic Imagerie par résonance magnétique Échographie Médecine nucléaire Tomodensitométrie Medizin Bildgebendes Verfahren Bildverarbeitung Zeitschrift Online-Ressource |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1361-8423 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996213441803316 |
| [Oxford, England], : Oxford University Press, 1996- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Medical image analysis
| Medical image analysis |
| Pubbl/distr/stampa | [Oxford, England], : Oxford University Press, 1996- |
| Disciplina | 610.28 |
| Soggetto topico |
Imaging systems in medicine
Image processing Computer vision in medicine Image processing - Periodicals Diagnostic imaging Magnetic resonance imaging Nuclear medicine Tomography, X-Ray Computed Diagnostic Imaging Magnetic Resonance Imaging Ultrasonography Nuclear Medicine Imagerie médicale Traitement d'images - Périodiques Vision par ordinateur en médecine Traitement d'images Imagerie pour le diagnostic Imagerie par résonance magnétique Échographie Médecine nucléaire Tomodensitométrie Medizin Bildgebendes Verfahren Bildverarbeitung Zeitschrift Online-Ressource |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1361-8423 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910146525003321 |
| [Oxford, England], : Oxford University Press, 1996- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
