Reprint

Machine Learning/Deep Learning in Medical Image Processing

Edited by
December 2021
132 pages
  • ISBN978-3-0365-2664-5 (Hardback)
  • ISBN978-3-0365-2665-2 (PDF)

This book is a reprint of the Special Issue Machine Learning/Deep Learning in Medical Image Processing that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
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.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
pancreas; segmentation; computed tomography; deep learning; data augmentation; deep learning; neoplasm metastasis; ovarian neoplasms; radiation exposure; tomography; x-ray computed; prostate carcinoma; microscopic; convolutional neural network; machine learning; deep learning; handcrafted; oral carcinoma; medical image segmentation; deep learning; colon cancer; colon polyps; OCT; deep learning; optical biopsy; animal rat models; CADx; airway volume analysis; deep learning; artificial intelligence; coronary artery disease; SPECT MPI scans; deep learning; convolutional neural networks; transfer learning; classification models; n/a