Machine Learning in Medical Imaging

12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan (Herausgeber)

Buch | Softcover

XVIII, 704 Seiten

2021 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-87588-6 (ISBN)

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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.

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

Erscheinungsdatum	28.09.2021
Reihe/Serie	Image Processing, Computer Vision, Pattern Recognition, and Graphics
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XVIII, 704 p. 248 illus., 232 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	1092 g
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Applications • Artificial Intelligence • big medical imaging data analytics • Bioinformatics • cellular image analysis • Computer Aided Diagnosis • Computer Science • computer vision • conference proceedings • Deep learning • Digital Pathology • Image Analysis • Image Processing • image reconstruction • Image Segmentation • Informatics • machine learning • Medical Image Analysis • Medical Images • Neural networks • pattern recognition • Research
ISBN-10	3-030-87588-1 / 3030875881
ISBN-13	978-3-030-87588-6 / 9783030875886
Zustand	Neuware