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

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...

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Detalles Bibliográficos
Autor Corporativo:	Rahman, Mahmudur
Formato:	Livro
Lenguaje:	Inglês
Publicado:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Materias:	thema EDItEUR::M Medicine and Nursing 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
Acceso en línea:	https://directory.doabooks.org/handle/20.500.12854/112457
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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

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