Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

This book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.*The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.
*The workshop was held virtually.

List of contents

Contrastive Representations for Continual Learning of Fine-grained Histology Images.- 

Product details

• Assisted by: Xiaohua Cao (Editor), Xiaohuan Cao (Editor), Chunfeng Lian (Editor), Islem Rekik (Editor), Islem Rekik et al (Editor), Xuanang Xu (Editor), Pingkun Yan (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 09.12.2021
• EAN: 9783030875886
• ISBN: 978-3-0-3087588-6
• No. of pages: 704
• Dimensions: 155 mm x 38 mm x 235 mm
• Illustrations: XVIII, 704 p. 248 illus., 232 illus. in color.
• Series: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software