Survey of Computer Vision and Machine Learning in Gastrointestinal Endoscopy

Autor:	Vemuri, Anant S.
Rok vydání:	2019
Předmět:	Physics - Medical Physics Computer Science - Computer Vision and Pattern Recognition Electrical Engineering and Systems Science - Image and Video Processing
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1904.13307 Zobrazit plný text záznamu View this record from Arxiv