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Sensors (Basel, Switzerland)|May 12, 2017
An Automatic Localization Algorithm for Ultrasound Breast Tumors Based on Human Visual MechanismYuting Xie, Ke Chen, Jiangli LinSheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|June 27, 2007
[Filtering and contrast enhancement of medical ultrasonic image]Ke Chen, Jiangli Lin, Deyu Li, et al.Journal of Digital Imaging|June 11, 2020
Diagnostic Efficiency of the Breast Ultrasound Computer-Aided Prediction Model Based on Convolutional Neural Network in Breast CancerHeqing Zhang, Lin Han, Ke Chen, et al.Journal of X-Ray Science and Technology|January 9, 2023
Skin cancer image recognition based on similarity clustering and attention transferZhengbo Tan, Jiangli Lin, Ke Chen, et al.Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|December 1, 2012
Shear wave dispersion ultrasound vibrometry based on a different mechanical model for soft tissue characterizationKe Chen, Aiping Yao, Eugene E Zheng, et al.Biomolecules|February 25, 2022
AutoCellANLS: An Automated Analysis System for Mycobacteria-Infected Cells Based on Unstained MicrographYan Zhuang, Xinzhuo Zhao, Zhongbing Huang, et al.Journal of X-Ray Science and Technology|July 9, 2019
Salient object detection method for breast tumor in ultrasound images based on absorbing Markov chainXiaoling Tang, Ke Chen, Lin Han, et al.Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|October 30, 2018
[Extraction of calcification in ultrasonic images based on convolution neural network]Dongqi Zuo, Lin Han, Ke Chen, et al.Journal of X-Ray Science and Technology|September 28, 2020
Automatic tooth roots segmentation of cone beam computed tomography image sequences using U-net and RNNQingqing Li, Ke Chen, Lin Han, et al.Journal of X-Ray Science and Technology|August 18, 2020
Recognition of calcifications in thyroid nodules based on attention-gated collaborative supervision network of ultrasound imagesLiqun Zhang, Ke Chen, Lin Han, et al.Pageof 260