Description
Deep Learning in Medical Image Analysis, 1st ed. 2020
Challenges and Applications
Advances in Experimental Medicine and Biology Series, Vol. 1213
Coordinators: Lee Gobert, Fujita Hiroshi
Language: EnglishSubjects for Deep Learning in Medical Image Analysis:
Publication date: 02-2021
Support: Print on demand
Publication date: 02-2020
181 p. · 17.8x25.4 cm · Hardback
Description
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Deep Learning in Medical Image Analysis.- Medical Image Synthesis via Deep Learning.- Deep Learning for Pulmonary Image Analysis: Classification, Detection, and Segmentation.- Deep Learning Computer Aided Diagnosis for Breast Lesion in Digital Mammogram.- Decision support system for lung cancer using PET/CT and microscopic images.- Lesion Image Synthesis using DCGANs for Metastatic Liver Cancer Detection.- Retinopathy analysis based on deep convolution neural network.- Diagnosis of Glaucoma on retinal fundus images using deep learning: detection of nerve fiber layer defect and optic disc analysis.- Automatic segmentation of multiple organs on 3D CT images by using deep learning approaches.- Techniques and Applications in Skin OCT Analysis.- Deep Learning Technique for Musculoskeletal Analysis.- Index.