Topic Editors

Department of Radiology, Kobe University Hospital, 7-5-2 Kusunokicho, Chuo-ku, Kobe 650-0017, Japan
Dr. Koji Fujimoto
Department of Advanced Imaging in Medical Magnetic Resonance, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan

Deep Learning for Medical Image Analysis and Medical Natural Language Processing

Abstract submission deadline
20 August 2024
Manuscript submission deadline
20 November 2024
Viewed by
99

Topic Information

Dear Colleagues,

This Special Issue mainly focuses on the application of deep learning to medical image analysis and medical natural language processing. We welcome original papers and review papers related to the topics below. In particular, this Special Issue welcomes the papers where both medical image analysis and medical natural language processing are used as multi-modal deep learning.
Research Topics:

  • Cutting-edge methodology/algorithm of deep learning for medical image analysis and medical natural language processing.
  • Clinical application of deep learning to medical image analysis and medical natural language processing which mainly focuses on cancer diagnosis and treatment.
  • Open-source software of deep learning which is used for cancer diagnosis and treatment.
  • Open data for medical image analysis and medical natural language processing which are useful for development and validation of deep learning.
  • Reproducibility/validation study for open-source software of deep learning used for cancer diagnosis and treatment.

Dr. Mizuho Nishio
Dr. Koji Fujimoto
Topic Editors

Keywords

  • deep learning
  • medical image analysis
  • natural language process
  • medical imaging
  • cancer

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci
2.838 4.5 2011 14.9 Days 2300 CHF Submit
Cancers
cancers
6.575 7.4 2009 17.4 Days 2600 CHF Submit
Diagnostics
diagnostics
3.992 3.6 2011 17.7 Days 2000 CHF Submit
Tomography
tomography
3.000 2.3 2015 24.7 Days 1800 CHF Submit

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Published Papers

This Topic is now open for submission.
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