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Deep kNN for Medical Image Classification by Jiaxin Zhuang; Jiabin Cai; Ruixuan Wang; Jianguo Zhang; Wei-Shi Zheng is a book available to read on EtoBox.
What is Deep kNN for Medical Image Classification about?
The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; ophthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging;
- Author
- Jiaxin Zhuang; Jiabin Cai; Ruixuan Wang; Jianguo Zhang; Wei-Shi Zheng
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2020
- Language
- EN
- ISBN
- 9783030597245
- Subjects
- Computer Science, Science, Business
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