Deep learning in medical image analysis : challenges and applications /: challenges and applications. (2020)

• Record Type: Book
• Further Information: Note: Gobert Lee, Hiroshi Fujita, editors.
• Other Names: Lee, Gobert; (Computer scientist), Fujita, Hiroshi
• Contents: 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.
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource (184 pages)
• Subjects: 616.07/54; Artificial intelligence -- Medical applications; Diagnostic imaging; Image analysis; Artificial intelligence -- Medical applications; Diagnostic imaging; Image analysis; Electronic books
• Languages: English
• ISBNs: 9783030331283; 3030331288
• Related ISBNs: 9783030331276; 303033127X
• Notes: Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.