医学 AI

Unlocking the Potential of Digital Pathology: Novel Baselines for Compression

Maximilian Fischer, Peter Neher, Peter Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Götz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus Maier-Hein

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、eess.IV

The NCI Imaging Data Commons as a platform for reproducible research in computational pathology

Daniela P. Schacherer, Markus D. Herrmann, David A. Clunie, Henning Höfener, William Clifford, William J. R. Longabaugh, Steve Pieper, Ron Kikinis, Andrey Fedorov, André Homeyer

机构 * Fraunhofer Institute for Digital Medicine MEVIS（弗劳恩霍夫数字医学研究所MEVIS） ； Department of Pathology, Massachusetts General Hospital（麻省总医院病理科部门） ； Harvard Medical School（哈佛医学院） ； Institute for Systems Biology（系统生物学研究所） 纠错

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.CV、cs.LG

Comments 13 pages, 5 figures; improved manuscript, new experiments with P100 GPU

Journal ref Computer Methods and Programs in Biomedicine (2023)

Deformable Attention Graph Representation Learning for Histopathology Whole Slide Image Analysis

Mingxi Fu, Xitong Ling, Yuxuan Chen, Jiawen Li, fanglei fu, Huaitian Yuan, Tian Guan, Yonghong He, Lianghui Zhu

专题命中 病理影像 ：pathology(abstract)；分类 cs.CV

AHDMIL: Asymmetric Hierarchical Distillation Multi-Instance Learning for Fast and Accurate Whole-Slide Image Classification

Jiuyang Dong, Jiahan Li, Junjun Jiang, Kui Jiang, Yongbing Zhang

专题命中 病理影像 ：pathology(abstract)；分类 cs.CV