@inproceedings{5d0b37c91e7541ea8b1e830c82341186,
title = "Effect of Various Image Information in Polyp Classification by Deeping Learning with Small Dataset",
abstract = "Clinical colonoscopy is the gold standard for polyp detection and resection in clinic. A main challenge in the polyp identification by deep learning is the limited patients number. In this paper, we discussed the usage of various image layers which provide and emphasize different image information in the polyp recognition and polyp classification. The results showed that comparing with the intensity image in RGB color space, the gradient images and images in chromaticity color space may provide more critical character to the deep learning model, and achieve a better performance with small training dataset.",
keywords = "colonoscopy, color space, deep learning, image layer, polyp",
author = "Yi Wang and Xiaodong Chen and Huaiyu Cai and Zhengrong Liang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 ; Conference date: 11-12-2019 Through 13-12-2019",
year = "2019",
month = dec,
doi = "10.1109/ICSIDP47821.2019.9173377",
language = "English",
series = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",
}