Can I read Semi-supervised Medical Image Classification with Global Latent Mixing on EtoBox?

Semi-supervised Medical Image Classification with Global Latent Mixing by Prashnna Kumar Gyawali; Sandesh Ghimire; Pradeep Bajracharya; Zhiyuan Li; Linwei Wang is a book available to read on EtoBox.

What is Semi-supervised Medical Image Classification with Global Latent Mixing 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

Prashnna Kumar Gyawali; Sandesh Ghimire; Pradeep Bajracharya; Zhiyuan Li; Linwei Wang

Publisher

Springer International Publishing : Imprint : Springer

Published

2020

Language

EN

ISBN

9783030597153

Subjects

Business, Computer Science, Science