Medical Image Understanding and Analysis : 23rd Conference, MIUA 2019, Liverpool, UK, July 24–26, 2019, Proceedings / / edited by Yalin Zheng, Bryan M. Williams, Ke Chen

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XV, 507 p. 220 illus., 164 illus. in color.)
• Disciplina: 006.6
• Soggetto topico: Optical data processing; Machine learning; Pattern recognition; Bioinformatics; Image Processing and Computer Vision; Machine Learning; Pattern Recognition; Computational Biology/Bioinformatics
• Persona (resp. second.): ZhengYalin; WilliamsBryan M; ChenKe
• Note generali: Includes index.
• Nota di contenuto: Oncology and Tumour Imaging -- Lesion, Wound and Ulcer Analysis -- Biostatistics -- Fetal Imaging -- Enhancement and Reconstruction -- Diagnosis, Classication and Treatment -- Vessel and Nerve Analysis -- Image Registration -- Image Segmentation -- Ophthalmic Imaging -- Posters.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 23rd Conference on Medical Image Understanding and Analysis, MIUA 2019, held in Liverpool, UK, in July 2019. The 43 full papers presented were carefully reviewed and selected from 70 submissions. There were organized in topical sections named: oncology and tumour imaging; lesion, wound and ulcer analysis; biostatistics; fetal imaging; enhancement and reconstruction; diagnosis, classification and treatment; vessel and nerve analysis; image registration; image segmentation; ophthalmic imaging; and posters.
• Titolo autorizzato: Medical Image Understanding and Analysis
• ISBN: 3-030-39343-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910373925603321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 1065