Machine Learning/Deep Learning in Medical Image Processing

Machine Learning/Deep Learning in Medical Image Processing

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...

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Bibliographic Details
Other Authors: Nishio, Mizuho (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Technology: general issues
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
n/a
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Summary: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.
Physical Description:1 electronic resource (132 p.)
ISBN:books978-3-0365-2665-2
9783036526645
9783036526652
Access:Open Access

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