Cross-Attention-Based Saliency Inference for Predicting Cancer Metastasis on Whole Slide Images
Ziyu Su, Mostafa Rezapour, Usama Sajjad, Shuo Niu, Metin Nafi Gurcan, Muhammad Khalid Khan Niazi · 2024
Read Cross-Attention-Based Saliency Inference for Predicting Cancer Metastasis on Whole Slide Images by Ziyu Su, Mostafa Rezapour, Usama Sajjad, Shuo Niu, Metin Nafi Gurcan, Muhammad Khalid Khan Niazi (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11863751.txt.
Description
Ziyu Su, Muhammad Niazi, and co-authors give a smart scan tool that finds tiny cancer spread spots on full slide images, in a 2024 paper. Small tumors may hold just a few lone cells, so most slide tools miss them amid vast clear tissue. Fine hand marks to train tools are also hard to get.
Their tool uses cross care with clear hot spot cues to pick key patches. A bad case learning step sharpens those cues still more. It beat top past tools on two spread test sets. It also held up across sites and shows why it flags each spot, which aids trust.
Catalog record
| CREATOR | Ziyu Su, Mostafa Rezapour, Usama Sajjad, Shuo Niu, Metin Nafi Gurcan, Muhammad Khalid Khan Niazi |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 50 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |