Can I read RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting on EtoBox?

RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting by Benjamin Hou; Georgios Kaissis; Ronald M. Summers; Bernhard Kainz is a book available to read on EtoBox.

What is RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting about?

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integr

Author

Benjamin Hou; Georgios Kaissis; Ronald M. Summers; Bernhard Kainz

Publisher

Springer International Publishing : Imprint: Springer

Published

2021

Language

EN

ISBN

9783030872397

Subjects

Computer Science, Medical, Science