Finding Small-Bowel Lesions: Challenges in Endoscopy-Image-Based Learning Systems

Jungmo Ahn, Huynh Nguyen Loc, Rajesh Krishna Balan, Youngki Lee, Jeonggil Ko

Research output: Contribution to specialist publicationArticle

13 Citations (Scopus)


Capsule endoscopy identifies damaged areas in a patient's small intestine but often outputs poor-quality images or misses lesions, leading to either misdiagnosis or repetition of the lengthy procedure. The authors propose applying deep-learning models to automatically process the captured images and identify lesions in real time, enabling the capsule to take additional images of a specific location, adjust its focus level, or improve image quality. The authors also describe the technical challenges in realizing a viable automated capsule-endoscopy system.

Original languageEnglish
Number of pages9
Specialist publicationComputer
Publication statusPublished - 2018 May

Bibliographical note

Publisher Copyright:
© 1970-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science(all)


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