PathEX: Make good choice for whole slide image extraction
In this study, we proposed PathEX, a framework that integrates IoT and BoT algorithms for tile image extraction at the boundaries of annotated regions while excluding blank tiles within these regions. Researchers can conveniently set the thresholds for IoT and BoT to facilitate tile image extraction in their own studies. The insights gained from this research provide valuable guidance for tile image extraction in digital pathology applications.
Authors
- Xinda Yang (ORCID: https://orcid.org/0009-0003-0630-0506)
- Yu Zhang (ORCID: https://orcid.org/0009-0002-6422-8066)
- Kai Chen (ORCID: https://orcid.org/0000-0002-7052-4681)
- Yuan Yang (ORCID: https://orcid.org/0000-0003-2449-5397)
- R. Zhang
Institutions
- Sun Yat-sen University (CN)
- Digital China Health (China) (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Renmin University of China (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1371/journal.pone.0304702
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.35
Funders
- Innovative Research Group Project of the National Natural Science Foundation of China
- National Natural Science Foundation of China
- Sun Yat-sen University
- Seoul National University
- Korea Health Industry Development Institute
- Seoul National University Hospital
- Guangdong Science and Technology Department
- Guangzhou Science, Technology and Innovation Commission