Artificial Intelligence (AI) and Machine Learning (ML) in Medical Imaging Informatics towards Diagnostic Decision Making

• Kolejni autorzy: Rahman, Mahmudur (Redaktor)
• Format: Elektroniczne Rozdział
• Język: angielski
• Wydane: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Hasła przedmiotowe: Medicine; machine learning; feature selection; osteoporosis; postmenopausal women; pre-screening; risk assessment; colorectal cancer; colon polyp; image features; convolutional neural network; artificial intelligence; radiomics; pancreatic imaging; MRI; CT; PET; acute lymphoblastic leukemia (ALL); blood smear; convolutional neural networks; deep learning; white blood cells; dysarthria; gated recurrent units; ordinal classification; multi-instance learning; weak supervision; breast cancer; key instance; uncertainty select; mammography; deep neural network; classification; HAM10000; skin lesion; ESRGAN; medical imaging; healthcare; decision making; cervical cancer; ensemble learning; Internet of Medical Things; oral cancer; biomedical imaging; Inception model; hybrid deep learning; COVID-19 CT-scan; 3D image segmentation; 3D UNet; 3D ResUNet; 3D VGGUNet; 3D DenseUNet; ultrasonic imaging; kidney; object detection; vision loss; diabetic retinopathy; image enhancement; APTOS; stand-alone artificial intelligence; radiology; benchmarking; population screening
• Dostęp online: DOAB: download the publication; DOAB: description of the publication

In recent years, AI/ML tools have become more prevalent in the fields of medical imaging and imaging informatics, where systems are already outperforming physicians in a range of domains, such as in the classification of retinal fundus images in ophthalmology, chest X-rays in radiology, and skin can...