InterOperative Biopsy Site Relocalization in Endoscope for Gastrointestinal tract using Deep Learning
Gastric cancer (GC) is a common and deadly tumor with poor prognosis. Early detection uses endoscopy, and further treatment requires pathological confirmation and CT scanning. AI systems can help due to a lack of pathologists globally. Most GCs have genetic instability, an early gastric cancer sign. A new classification system based on histology, genotype, and molecular phenotype aids early diagnosis, prevention, and treatment. The project uses deep learning, especially Gastronet, to assist in GC diagnosis, offering high accuracy without extra tests.
Authors
- G.H. Soumya
- P. Shruthi
- A Surendra (ORCID: https://orcid.org/0000-0002-6269-1535)
- J. Sridhar
- Arunkumar Saravanan
- B. Pavan Kumar
Institutions
- Institute of Engineering (NP)
Publication Details
- Published
- 2024-10-04
- DOI
- https://doi.org/10.1109/gcat62922.2024.10924117
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00