High-throughput histopathological image analysis via robust cell segmentation and hashing
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- 作者：Xiaofan Zhanga ; Fuyong Xingb ; Hai Suc ; Lin Yangb ; c ; Shaoting Zhang ; a ; rutgers.shaoting@gmail.com" class="auth_mail" title="E-mail the corresponding author ; shaoting@cs.rutgers.edu" class="auth_mail" title="E-mail the corresponding author ; szhang16@uncc.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Histopathological image analysis ; Cell segmentation ; Large-scale ; Image retrieval ; Hashing
- 刊名：Medical Image Analysis
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：26
- 期：1
- 页码：306-315
- 全文大小：2775 K
文摘
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A comprehensive and real-time framework is designed to perform cell-level analysis for histopathological images.
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we propose a content-aware hashing method to significantly improves the classification accuracy.
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It provides usable tools to assist clinicians' diagnoses and support efficient medical image data management.