Machine Learning/Deep Learning in Medical Image Processing

• Autore: Nishio Mizuho
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (132 p.)
• Soggetto topico: Technology: general issues
• Soggetto non controllato: airway volume analysis; animal rat models; artificial intelligence; CADx; classification models; colon cancer; colon polyps; computed tomography; convolutional neural network; convolutional neural networks; coronary artery disease; data augmentation; deep learning; handcrafted; machine learning; medical image segmentation; microscopic; n/a; neoplasm metastasis; OCT; optical biopsy; oral carcinoma; ovarian neoplasms; pancreas; prostate carcinoma; radiation exposure; segmentation; SPECT MPI scans; tomography; transfer learning; x-ray computed
• Persona (resp. second.): NishioMizuho
• Sommario/riassunto: Many recent studies on medical image processing have involved the use of machine learning (ML) and deep learning (DL). This special issue, "Machine Learning/Deep Learning in Medical Image Processing", has been launched to provide an opportunity for researchers in the area of medical image processing to highlight recent developments made in their fields with ML/DL. Seven excellent papers that cover a wide variety of medical/clinical aspects are selected in this special issue.
• Titolo autorizzato: Machine Learning
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557791503321
• Lo trovi qui: Univ. Federico II