Journal of pathology informatics
| Journal of pathology informatics |
| Pubbl/distr/stampa | Ghatkopar, Mumbai, : Medknow Publications and Media, ©2010- |
| Soggetto topico |
Pathology - Data processing
Medical informatics Pathology Medical Informatics 44.47 pathology (medicine) |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2153-3539 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
J Pathol Inform
JPI |
| Record Nr. | UNISA-996197771703316 |
| Ghatkopar, Mumbai, : Medknow Publications and Media, ©2010- | ||
| Lo trovi qui: Univ. di Salerno | ||
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Journal of pathology informatics
| Journal of pathology informatics |
| Pubbl/distr/stampa | Ghatkopar, Mumbai, : Medknow Publications and Media, ©2010- |
| Soggetto topico |
Pathology - Data processing
Medical informatics Pathology Medical Informatics 44.47 pathology (medicine) Pathologie - Informatique Médecine - Informatique |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2153-3539 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
J Pathol Inform
JPI |
| Record Nr. | UNINA-9910141055203321 |
| Ghatkopar, Mumbai, : Medknow Publications and Media, ©2010- | ||
| Lo trovi qui: Univ. Federico II | ||
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Ophthalmic medical image analysis : 7th International Workshop, OMIA 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, proceedings / / Huazhu Fu [and four others] editors
| Ophthalmic medical image analysis : 7th International Workshop, OMIA 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, proceedings / / Huazhu Fu [and four others] editors |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (IX, 218 p.) : 19 illus |
| Disciplina | 616.07 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pathology - Data processing
Eye - Imaging |
| ISBN | 3-030-63419-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Bio-Inspired Attentive Segmentation of Retinal OCT imaging -- DR detection using Optical Coherence Tomography Angiography (OCTA): a transfer learning approach with robustness analysis -- What is the optimal attribution method for explainable ophthalmic disease classification? -- DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-resolution of Retinal Fundus Images -- Encoder-Decoder Networks for Retinal Vessel Segmentation using Large Multi-Scale Patches -- Retinal Image Quality Assessment via Specific Structures Segmentation -- Cascaded Attention Guided Network for Retinal Vessel Segmentation -- Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography -- Automated Detection of Diabetic Retinopathy From Smartphone Fundus Videos -- Optic Disc, Cup and Fovea Detection from Retinal Images using U-Net++ with EfficientNet Encoder -- Multi-level Light U-Net and Atrous Spatial Pyramid Pooling for Optic Disc Segmentation on Fundus Image -- An Interactive Approach to Region of Interest Selection in Cytologic Analysis of Uveal Melanoma Based on Unsupervised Clustering -- Retinal OCT Denoising with Pseudo-Multimodal Fusion Network -- Deep-Learning-Based Estimation of 3D Optic-Nerve-Head Shape from 2D Color Fundus Photographs in Cases of Optic Disc Swelling -- Weakly supervised retinal detachment segmentation using deep feature propagation learning in SD-OCT images -- A framework for the discovery of retinal biomarkers in Optical Coherence Tomography Angiography (OCTA) -- An Automated Aggressive Posterior Retinopathy of Prematurity Diagnosis System by Squeeze and Excitation Hierarchical Bilinear Pooling Network -- Weakly-Supervised Lesion-aware and Consistency Regularization for Retinitis Pigmentosa Detection from Ultra-widefield Images -- A Conditional Generative Adversarial Network-based Method for Eye Fundus Image Quality Enhancement -- Construction of quantitative indexes for cataract surgery evaluation based on deep learning -- Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification. |
| Altri titoli varianti | OMIA 2020 |
| Record Nr. | UNISA-996418214703316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Lo trovi qui: Univ. di Salerno | ||
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