Machine Learning/Deep Learning in Medical Image Processing

• Autore: Nishio Mizuho
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 electronic resource (132 p.)
• Soggetto topico: Technology: general issues
• Soggetto non controllato: pancreas; segmentation; computed tomography; deep learning; data augmentation; neoplasm metastasis; ovarian neoplasms; radiation exposure; tomography; x-ray computed; prostate carcinoma; microscopic; convolutional neural network; machine learning; handcrafted; oral carcinoma; medical image segmentation; colon cancer; colon polyps; OCT; optical biopsy; animal rat models; CADx; airway volume analysis; artificial intelligence; coronary artery disease; SPECT MPI scans; convolutional neural networks; transfer learning; classification models
• 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