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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)
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-
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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-
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui