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Artificial intelligence in cancer diagnosis and therapy / / Hamid Khayyam, [and three others], [editors]
| Artificial intelligence in cancer diagnosis and therapy / / Hamid Khayyam, [and three others], [editors] |
| Pubbl/distr/stampa | Basel : , : MDPI, , [2023] |
| Descrizione fisica | 1 online resource |
| Disciplina | 006.3 |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-0365-6673-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
About the Editors xi -- Preface to "Artificial Intelligence in Cancer Diagnosis and Therapy" xiii -- Henrik J. Michaely, Giacomo Aringhieri, Dania Cioni and Emanuele Neri -- Current Value of Biparametric Prostate MRI with Machine-Learning or Deep-Learning in the -- Detection, Grading, and Characterization of Prostate Cancer: A Systematic Review -- Reprinted from: Diagnostics 2022, 12, 799, doi:10.3390/diagnostics12040799 1 -- Russell Frood, Matthew Clark, Cathy Burton, Charalampos Tsoumpas, Alejandro F. Frangi, -- Fergus Gleeson, Chirag Patel, et al. -- Discovery of Pre-Treatment FDG PET/CT-Derived Radiomics-Based Models for Predicting -- Outcome in Diffuse Large B-Cell Lymphoma -- Reprinted from: Cancers 2022, 14, 1711, doi:10.3390/cancers14071711 23 -- Stephan Forchhammer, Amar Abu-Ghazaleh, Gisela Metzler, Claus Garbe -- and Thomas Eigentler -- Development of an Image Analysis-Based Prognosis Score Using Google's Teachable Machine -- in Melanoma -- Reprinted from: Cancers 2022, 14, 2243, doi:10.3390/cancers14092243 37 -- Lifeng Xu, Chun Yang, Feng Zhang, Xuan Cheng, Yi Wei, Shixiao Fan, Minghui Liu, et al. -- Deep Learning Using CT Images to Grade Clear Cell Renal Cell Carcinoma: Development and -- Validation of a Prediction Model -- Reprinted from: Cancers 2022, 14, 2574, doi:10.3390/ cancers14112574 49 -- Sara Merkaj, Ryan C. Bahar, Tal Zeevi, MingDe Lin, Ichiro Ikuta, Khaled Bousabarah, -- Gabriel I. Cassinelli Petersen, et al. -- Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: -- Challenges and Opportunities -- Reprinted from: Cancers 2022, 14, 2623, doi:10.3390/cancers14112623 65 -- Qiyi Hu, Guojie Wang, Xiaoyi Song, Jingjing Wan, Man Li, Fan Zhang, Qingling Chen, et al. -- Machine Learning Based on MRI DWI Radiomics Features for Prognostic Prediction in -- Nasopharyngeal Carcinoma -- Reprinted from: Cancers 2022, 14, 3201, doi:10.3390/cancers14133201 81 -- Yuki Ito, Takahiro Nakajima, Terunaga Inage, Takeshi Otsuka, Yuki Sata, Kazuhisa Tanaka, -- Yuichi Sakairi, et al. -- Prediction of Nodal Metastasis in Lung Cancer Using Deep Learning of Endobronchial -- Ultrasound Images -- Reprinted from: Cancers 2022, 14, 3334, doi:10.3390/cancers14143334 93 -- Marco Bertolini, Valeria Trojani, Andrea Botti, Noemi Cucurachi, Marco Galaverni, -- Salvatore Cozzi, Paolo Borghetti, et al. -- Novel Harmonization Method for Multi-Centric Radiomic Studies in Non-Small Cell -- Lung Cancer -- Reprinted from: Curr. Oncol. 2022, 29, 410, doi:10.3390/curroncol29080410 105 -- Wei Zhao, Yingli Sun, Kaiming Kuang, Jiancheng Yang, Ge Li, Bingbing Ni, -- Yingjia Jiang, et al. -- ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from -- Follow-Up CT Series -- Reprinted from: Cancers 2022, 14, 3675, doi:10.3390/cancers14153675 121 -- Jason C. Hsu, Phung-Anh Nguyen, Phan Thanh Phuc, Tsai-Chih Lo, Min-Huei Hsu, -- Min-Shu Hsieh, Nguyen Quoc Khanh Le, et al. -- Development and Validation of Novel Deep-Learning Models Using Multiple Data Types for -- Lung Cancer Survival -- Reprinted from: Cancers 2022, 14, 5562, doi:10.3390/cancers14225562 133 -- Shuchita Dhwiren Patel, Andrew Davies, Emma Laing, Huihai Wu, Jeewaka Mendis -- and Derk-Jan Dijk -- Prognostication in Advanced Cancer by Combining Actigraphy-Derived Rest-Activity and -- Sleep Parameters with Routine Clinical Data: An Exploratory Machine Learning Study -- Reprinted from: Cancers 2023, 15, 503, doi:10.3390/cancers15020503 147 -- Bart M. de Vries, Sandeep S. V. Golla, Gerben J. C. Zwezerijnen, Otto S. Hoekstra, -- Yvonne W. S. Jauw, Marc C. Huisman, Guus A. M. S. van Dongen, et al. -- 3D Convolutional Neural Network-Based Denoising of Low-Count Whole-Body -- 18F-Fluorodeoxyglucose and 89Zr-Rituximab PET Scans -- Reprinted from: Diagnostics 2022, 12, 596, doi:10.3390/diagnostics12030596 169 -- Marco Solbiati, Tiziana Ierace, Riccardo Muglia, Vittorio Pedicini, Roberto Iezzi, -- Katia M. Passera, Alessandro C. Rotilio, et al. -- Thermal Ablation of Liver Tumors Guided by Augmented Reality: An Initial -- Clinical Experience -- Reprinted from: Cancers 2022, 14, 1312, doi:10.3390/cancers14051312 183 -- Pavel Alekseevich Lyakhov, Ulyana Alekseevna Lyakhova -- and Nikolay Nikolaevich Nagornov -- System for the Recognizing of Pigmented Skin Lesions with Fusion and Analysis of -- Heterogeneous Data Based on a Multimodal Neural Network -- Reprinted from: Cancers 2022, 14, 1819, doi:10.3390/cancers14071819 197 -- Antonio Melillo, Andrea Chirico, Giuseppe De Pietro, Luigi Gallo, Giuseppe Caggianese, -- Daniela Barone, Michelino De Laurentiis, et al. -- Virtual Reality Rehabilitation Systems for Cancer Survivors: A Narrative Review of -- the Literature -- Reprinted from: Cancers 2022, 14, 3163, doi:10.3390/cancers14133163 223 -- Jesus A. Basurto-Hurtado, Irving A. Cruz-Albarran, Manuel Toledano-Ayala, -- Mario Alberto Ibarra-Manzano, Luis A. Morales-Hernandez and Carlos A. Perez-Ramirez -- Diagnostic Strategies for Breast Cancer Detection: From Image Generation to Classification -- Strategies Using Artificial Intelligence Algorithms -- Reprinted from: Cancers 2022, 14, 3442, doi:10.3390/cancers14143442 239 -- Ji-Sun Kim, Byung Guk Kim and Se Hwan Hwang -- Efficacy of Artificial Intelligence-Assisted Discrimination of Oral Cancerous Lesions from -- Normal Mucosa Based on the Oral Mucosal Image: A Systematic Review and Meta-Analysis -- Reprinted from: Cancers 2022, 14, 3499, doi:10.3390/cancers14143499 263 -- Diana Veiga-Canuto, Leonor Cerd`a-Alberich, Cinta Sanguesa ¨ Nebot, Blanca Mart´ınez -- de las Heras, Ulrike Potschger, ¨ Michela Gabelloni, Jos´e Miguel Carot Sierra, et al. -- Comparative Multicentric Evaluation of Inter-Observer Variability in Manual and Automatic -- Segmentation of Neuroblastic Tumors in Magnetic Resonance Images -- Reprinted from: Cancers 2022, 14, 3648, doi:10.3390/cancers14153648 275 -- JaeYen Song, Soyoung Im, Sung Hak Lee and Hyun-Jong Jang -- Deep Learning-Based Classification of Uterine Cervical and Endometrial Cancer Subtypes from -- Whole-Slide Histopathology Images -- Reprinted from: Diagnostics 2022, 12, 2623, doi:10.3390/diagnostics12112623 291 -- Bahrudeen Shahul Hameed and Uma Maheswari Krishnan -- Artificial Intelligence-Driven Diagnosis of Pancreatic Cancer -- Reprinted from: Cancers 2022, 14, 5382, doi:10.3390/cancers14215382 305 -- Victor I. J. Strijbis, Max Dahele, Oliver J. Gurney-Champion, Gerrit J. Blom, -- Marije R. Vergeer, Berend J. Slotman and Wilko F. A. R. Verbakel -- Deep Learning for Automated Elective Lymph Node Level Segmentation for Head and Neck -- Cancer Radiotherapy -- Reprinted from: Cancers 2022, 14, 5501, doi:10.3390/cancers14225501 327 -- Faicel Chamroukhi, Segolene Brivet, Peter Savadjiev, Mark Coates and Reza Forghani -- DECT-CLUST: Dual-Energy CT Image Clusteringand Application to Head and Neck Squamous -- Cell Carcinoma Segmentation -- Reprinted from: Cancers 2022, 12, 3072, doi:10.3390/diagnostics12123072 345 -- Yinghong Guo, Jiangfeng Wu, Yunlai Wang and Yun Jin -- Development and Validation of an Ultrasound-Based Radiomics Nomogram for Identifying -- HER2 Status in Patients with Breast Carcinoma -- Reprinted from: Diagnostics 2022, 12, 3130, doi:10.3390/diagnostics12123130 367 -- Martina Sollini, Margarita Kirienko, Noemi Gozzi, Alessandro Bruno, Chiara Torrisi, -- Luca Balzarini, Emanuele Voulaz, et al. -- The Development of an Intelligent Agent to Detect and Non-Invasively Characterize Lung -- Lesions on CT Scans: Ready for the "Real World"? -- Reprinted from: Diagnostics 2023, 15, 357, doi:10.3390/cancers15020357 385 -- Jang Yoo, Jaeho Lee, Miju Cheon, Sang-Keun Woo, Myung-Ju Ahn, Hong Ryull Pyo, -- Yong Soo Choi, et al. -- Predictive Value of 18F-FDG PET/CT Using Machine Learning for Pathological Response to -- Neoadjuvant Concurrent Chemoradiotherapy in Patients with Stage III Non-Small Cell -- Lung Cancer -- Reprinted from: Cancers 2022, 14, 1987, doi:10.3390/cancers14081987 399 -- Gi Hwan Kim, Yong Mee Cho, So-Woon Kim, Ja-Min Park, Sun Young Yoon, Gowun Jeong, -- Dong-Myung Shin, et al..
Synaptophysin, CD117, and GATA3 as a Diagnostic Immunohistochemical Panel for Small Cell -- Neuroendocrine Carcinoma of the Urinary Tract -- Reprinted from: Cancers 2022, 14, 2495, doi:10.3390/cancers14102495 411 -- Yulan Zhao, Ting Huang and Pintong Huang -- Integrated Analysis of Tumor Mutation Burden and Immune Infiltrates in -- Hepatocellular Carcinoma -- Reprinted from: Diagnostics 2022, 12, 1918, doi:10.3390/diagnostics12081918 425 -- Qing Li, Ruijie Wang, Zhonglin Xie, Lanbo Zhao, Yiran Wang, Chao Sun, Lu Han, et al. -- Clinically Applicable Pathological Diagnosis System for Cell Clumps in Endometrial Cancer -- Screening via Deep Convolutional Neural Networks -- Reprinted from: Cancers 2022, 14, 4109, doi:10.3390/ cancers14174109 443 -- .Yimin Guo, Ting Lyu, Shuguang Liu, Wei Zhang, Youjian Zhou, Chao Zeng -- and Guangming Wu -- Learn to Estimate Genetic Mutation and Microsatellite Instability with Histopathology H&E -- Slides in Colon Carcinoma -- Reprinted from: Cancers 2022, 14, 4144, doi:10.3390/cancers14174144 455 -- Zhengjie Ou, Wei Mao, Lihua Tan, Yanli Yang, Shuanghuan Liu, Yanan Zhang, Bin Li, et al. -- Prediction of Postoperative Pathologic Risk Factors in Cervical Cancer Patients Treated with -- Radical Hysterectomy by Machine Learning -- Reprinted from: Curr. Oncol. 2022, 29, 755, doi:10.3390/curroncol29120755 471 -- Qian Yao, Wei Hou, Kaiyuan Wu, Yanhua Bai, Mengping Long, Xinting Diao, Ling Jia, et al. -- Using Whole Slide Gray Value Map to Predict HER2 Expression and FISH Status in -- Breast Cancer -- Reprinted from: Cancers 2022, 14, 6233, doi:10.3390/cancers14246233 489 -- Wei Zhang, Weiting Zhang, Xiang Li, Xiaoming Cao, Guoqiang Yang and Hui Zhang -- Predicting Tumor Perineural Invasion Status in High-Grade Prostate Cancer Based on -- a Clinical-Radiomics Model Incorporating T2-Weighted and Diffusion-Weighted Magnetic -- Resonance Images -- Reprinted from: Cancers 2023, 15, 86, doi:10.3390/cancers15010086 503 -- Marco Rossi, Salvatore M. Aspromonte, Frederick J. Kohlhapp, Jenna H. Newman, -- Alex Lemenze, Russell J. Pepe, Samuel M. DeFina, et al. -- Gut Microbial Shifts Indicate Melanoma Presence and Bacterial Interactions in a Murine Model -- Reprinted from: Diagnostics 2022, 12, 958, doi:10.3390/diagnostics12040958 519 -- Ilkka Haapala, Anton Kondratev, Antti Roine, Meri M¨akel¨a, Anton Kontunen, -- Markus Karjalainen, Aki Laakso, et al. -- Method for the Intraoperative Detection of IDH Mutation in Gliomas with Differential Mobility -- Spectrometry -- Reprinted from: Curr. Oncol. 2022, 29, 265, doi:10.3390/curroncol29050265 531 -- Joaquim Carreras, Giovanna Roncador and Rifat Hamoudi -- Artificial Intelligence Predicted Overall Survival and Classified Mature B-Cell Neoplasms Based -- on Immuno-Oncology and Immune Checkpoint Panels -- Reprinted from: Cancers 2022, 14, 5318, doi:10.3390/cancers14215318 539 -- Shihori Tanabe, Sabina Quader, Ryuichi Ono, Horacio Cabral, Kazuhiko Aoyagi, -- Akihiko Hirose, Edward J. Perkins, et al. -- Regulation of Epithelial-Mesenchymal Transition Pathway and Artificial Intelligence-Based -- Modeling for Pathway Activity Prediction -- Reprinted from: Curr. Oncol. 2023, 3, 2, doi:10.3390/ onco3010002 585 -- Ji-Eun Na, Yeong-Chan Lee, Tae-Jun Kim, Hyuk Lee, Hong-Hee Won, -- Yang-Won Min, Byung-Hoon Min, et al. -- Machine Learning Model to Stratify the Risk of Lymph Node Metastasis for Early Gastric -- Cancer: A Single-Center Cohort Study -- Reprinted from: Cancers 2022, 14, 1121, doi:10.3390/cancers14051121 599 -- Jeongmin Lee, Bong Joo Kang, Sung Hun Kim and Ga Eun Park -- Evaluation of Computer-Aided Detection (CAD) in Screening Automated Breast Ultrasound -- Based on Characteristics of CAD Marks and False-Positive Marks -- Reprinted from: Cancers 2022, 12, 583, doi:10.3390/diagnostics12030583 611 -- Sebastian Ziegelmayer, Markus Graf, Marcus Makowski, Joshua Gawlitza and Felix Gassert -- Cost-Effectiveness of Artificial Intelligence Support in Computed Tomography-Based Lung -- Cancer Screening -- Reprinted from: Cancers 2022, 14, 1729, doi:10.3390/cancers14071729 623 -- Nikitha Vobugari, Vikranth Raja, Udhav Sethi, Kejal Gandhi, Kishore Raja -- and Salim R. Surani -- Advancements in Oncology with Artificial Intelligence-A Review Article -- Reprinted from: Cancers 2022, 14, 1349, doi:10.3390/cancers14051349 635. |
| Record Nr. | UNINA-9910683372803321 |
| Basel : , : MDPI, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Automation, Control and Energy Efficiency in Complex Systems
| Automation, Control and Energy Efficiency in Complex Systems |
| Autore | Khayyam Hamid |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (242 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
microstructure
carbon fibers polyacrylonitrile thermal stabilization recirculation fan frequency IR imaging extended-range electric bus adaptive-equivalent consumption minimum strategy Markov chain target driving cycles SOC reference curve energy management system building automation systems building energy efficiency daytime lighting lighting control systems EN 15232 standard four-wheel independent-drive electric vehicle skid steering differential steering sliding mode variable structure control robustness active 4WS system hierarchical control decoupling fractional sliding mode control vehicle-to-grid EV charging infrastructure optimal dispatch oil-to-electricity transformation for automobiles permanent magnet synchronous motor sliding mode control motion control fractional order sliding surface composite controller intelligent control (IC) fuzzy cognitive map (FCM) direct expansion air-conditioning (DX A/C) nonlinear coupling effect MIMO stability analysis Lyapunov function fuzzy bidirectional associative memories (FBAMs) URT multi-train optimization steep slope electrical network model regenerative energy dynamic losses Air-Conditioning On-Off control desert climate optimization Elman Neural Networks event-based consensus hierarchical leader–follower network hierarchical event-based control layer-to-layer delays |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557289803321 |
Khayyam Hamid
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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