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.

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Published
2024-10-04
DOI
https://doi.org/10.1109/gcat62922.2024.10924117
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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InterOperative Biopsy Site Relocalization in Endoscope for Gastrointestinal tract using Deep Learning

G.H. Soumya, P. Shruthi, A Surendra, J. Sridhar et al.
Radiomics and Machine Learning in Medical Imaging
article

InterOperative Biopsy Site Relocalization in Endoscope for Gastrointestinal tract using Deep Learning

G.H. Soumya, P. Shruthi, A Surendra, J. Sridhar, Arunkumar Saravanan, B. Pavan Kumar
article en

Abstract

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.

Institute of Engineering (NP)
Zero hunger
Openalex Percentile: Top 56%
Radiomics and Machine Learning in Medical Imaging
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