A Pathology Foundation Model for Cancer Diagnosis and Prognosis Prediction

X. Y. Wang†, J. H. Zhao†, E. Marostica, W. Yuan, J. T. Jin, J. Y. Zhang, R. J. Li, H. P. Tang, K. R. Wang, Y. Li, F. Wang, Y. L. Peng, J. Y. Zhu, Jing Zhang, C. R. Jackson, Jun Zhang, D. Dillon, N. U. Lin, L. Sholl, T. Denize, D. Meredith, K. L. Ligon, S. Signoretti, S. Ogino, J. A. Golden, M. P. Nasrallah, X. Han, S. Yang#, K. H. Yu#

HiCervix: An Extensive Hierarchical Dataset and Benchmark for Cervical Cytology Classification

D. Cai†, J. Chen†, J. H. Zhao†, Y. Xue, S. Yang, W. Yuan, M. Feng, H. Y. Weng, S. G. Liu, Y. L. Peng, J. Y. Zhu, K. R. Wang, C. Jackson, H. P. Tang#, J. Z. Huang, X. Y. Wang#

• This work introduces HiCervix, the most extensive, multi-center cervical cytology dataset currently available to the public. HiCervix includes 40,229 cervical cells from 4,496 whole slide images, categorized into 29 annotated classes. Along with our benchmark HierSwin method HierSwin, a hierarchical vision transformer-based classification network.

MACG-Net: Multi-axis Cross Gating Network for Deformable Medical Image Registration

W. Yuan, J. Cheng, Y. H. Gong, L. He#, J. Zhang

• In this work, we propose MACG-Net, for deformable image registration.

ESatSR: Enhancing Super-Resolution for Satellite Remote Sensing Images with State Space Model and Spatial Context

Y. X. Wang†, W. Yuan†, X. Fang, B. J. Lin#

• In this work, we propose ESatSR, a novel SR method based on state space models. Tailored for remote sensing images, the interaction of multi-scale spatial context and image features is leveraged to enhance the network’s capability in capturing features of small targets.