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《Journal of Xuzhou Medical University》 2019-02
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Medical image segmentation method based on deep learning

ZHU Enze;HE Hanzhi;ZHONG Hongyang;JIANG Tao;ZHANG Zihan;ZHU Hong;School of Medical Information,Xuzhou Medical University;  
Nowadays, the society has entered the era of big data, so the analysis and processing of medical images are facing new challenges.How to fully dig out the information of massive medical images is a problem we need to think about.Deep learning provides us with new ideas for solving this problem.Deep learning, as a new field in machine learning,has attracted more and more attention in recent years.Its related research also involves many fields, especially image processing.Medical image processing based on deep learning is a hot topic.This paper first briefly introduces deep learning, then explains the application of deep learning in medical image segmentation.Finally, the problems of deep learning in medical image processing are analyzed and prospects for the future are made.
【Fund】: 江蘇省自然科學基金(BK20130209);; 江蘇省高等學校自然科學研究重大項目(18KJA520012);; 徐州市科技計劃(KC16SQ78)
【CateGory Index】: TP391.41;TP183
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Chinese Journal Full-text Database 1 Hits
1 JIANG Gui-Ping;QIN Wen-Jian;ZHOU Shou-Jun;WANG Chang-Miao;School of Biomedical Engineering,Southern Medical University;Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences;;State-of-the-Art in Medical Image Segmentation[J];計算機學報;2015-06
Chinese Journal Full-text Database 1 Hits
1 ZHU Enze;HE Hanzhi;ZHONG Hongyang;JIANG Tao;ZHANG Zihan;ZHU Hong;School of Medical Information,Xuzhou Medical University;;Medical image segmentation method based on deep learning[J];徐州醫科大學學報;2019-02
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