Precise Augmentation and Counting of Helicobacter Pylori in Histology Image
Research output: Conference Papers › RGC 32 - Refereed conference paper (without host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
---|---|
Number of pages | 4 |
Publication status | Published - Nov 2022 |
Conference
Title | 36th Conference on Neural Information Processing Systems (NeurIPS 2022) |
---|---|
Location | Hybrid, New Orleans Convention Center |
Place | United States |
City | New Orleans |
Period | 28 November - 9 December 2022 |
Link(s)
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(2479886f-4ce4-4772-9ead-4deb19da1f7d).html |
---|
Abstract
We study the precise counting of Helicobacter Pylori (HP), which is important for diagnosis of gastric cancer. The crowd counting technique is adapted for a precise quantitative analysis. The challenge of training an HP counting model lies in scarcity of labels. We use a DCGAN for the generative modelling of HP morphology and perform high-fidelity data augmentation. The comparative results show our method outperforms the object detection and semantic segmentation baselines. The proposed framework is potential useful in quantitative analysis of other bacteria in histology images. The dataset is available at https://cyxhello. github.io/HPCDataset/.
Citation Format(s)
Precise Augmentation and Counting of Helicobacter Pylori in Histology Image. / Cui, Yufei; Chen, Yixin; Shuai, Zhifeng et al.
2022. Paper presented at 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, Louisiana, United States.
2022. Paper presented at 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, Louisiana, United States.
Research output: Conference Papers › RGC 32 - Refereed conference paper (without host publication) › peer-review