Digestpath Challenge Dataset. 

If you need Digestpath Challenge Dataset, please contact E-Mail: support@digestpath-challenge.org and signature the agreement.

If you use our data set for public publication, you must cite the following related articles as a reward to data contributors and website builders.

[1] Da Q, Huang X, Li Z, et al. DigestPath: a Benchmark Dataset with Challenge Review for the Pathological Detection and Segmentation of Digestive-System[J]. Medical Image Analysis, 2022: 102485.

[2] Li, J., Yang, S., Huang, X., Da, Q., Yang, X., Hu, Z., ... & Li, H. (2019, June). Signet Ring Cell Detection with a Semi-supervised Learning Framework. In International Conference on Information Processing in Medical Imaging (pp. 842-854). Springer, Cham.

[3] Zhao, T.; Fu, C.; Song, W.; Sham, C.-W. RGGC-UNet: Accurate Deep Learning Framework for [4] Signet Ring Cell Semantic Segmentation in Pathological Images. Bioengineering 2024, 11, 16.

[4] Zhao, T.; Fu, C.; Tie, M.; Sham, C.-W.; Ma, H. RGSB-UNet: Hybrid Deep Learning Framework for Tumour Segmentation in Digital Pathology Images. Bioengineering 2023, 10, 957.

[5] Zhao, T.; Fu, C.; Tian, Y.; Song, W.; Sham, C.-W. GSN-HVNET: A Lightweight, Multi-Task Deep Learning Framework for Nuclei Segmentation and Classification. Bioengineering 2023, 10, 393.