A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset.
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%0 Conference Paper
%1 conf/miccai/ZhangWYWSGL22
%A Zhang, Shu
%A Wu, Jinru
%A Yu, Sigang
%A Wang, Ruoyang
%A Shi, Enze
%A Gao, Yongfeng
%A Liang, Zhengrong
%B MMMI@MICCAI
%D 2022
%E Li, Xiang
%E Lv, Jinglei
%E Huo, Yuankai
%E Dong, Bin
%E Leahy, Richard M.
%E Li, Quanzheng
%I Springer
%K dblp
%P 44-53
%T A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset.
%U http://dblp.uni-trier.de/db/conf/miccai/mmmi2022.html#ZhangWYWSGL22
%V 13594
%@ 978-3-031-18814-5
@inproceedings{conf/miccai/ZhangWYWSGL22,
added-at = {2022-11-10T00:00:00.000+0100},
author = {Zhang, Shu and Wu, Jinru and Yu, Sigang and Wang, Ruoyang and Shi, Enze and Gao, Yongfeng and Liang, Zhengrong},
biburl = {https://www.bibsonomy.org/bibtex/29925660fcdc0f6f17a16a25251274191/dblp},
booktitle = {MMMI@MICCAI},
crossref = {conf/miccai/2022mmmi},
editor = {Li, Xiang and Lv, Jinglei and Huo, Yuankai and Dong, Bin and Leahy, Richard M. and Li, Quanzheng},
ee = {https://doi.org/10.1007/978-3-031-18814-5_5},
interhash = {7d8251f276823de6828d586b4cd67604},
intrahash = {9925660fcdc0f6f17a16a25251274191},
isbn = {978-3-031-18814-5},
keywords = {dblp},
pages = {44-53},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-04-09T22:25:32.000+0200},
title = {A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset.},
url = {http://dblp.uni-trier.de/db/conf/miccai/mmmi2022.html#ZhangWYWSGL22},
volume = 13594,
year = 2022
}