Survey of Computer Vision and Machine Learning in Gastrointestinal Endoscopy
It serves as a starting point for researchers studying GI endoscopy, but it is incremental as a review and outdated due to its exclusion of deep learning.
This paper provides a survey of computer vision and machine learning applications in gastrointestinal endoscopy, categorizing them into 18 groups, but it is limited to pre-deep learning methods and does not cover recent deep learning advancements.
This paper attempts to provide the reader a place to begin studying the application of computer vision and machine learning to gastrointestinal (GI) endoscopy. They have been classified into 18 categories. It should be be noted by the reader that this is a review from pre-deep learning era. A lot of deep learning based applications have not been covered in this thesis.