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Evaluation of tumor budding with virtual panCK stains generated by novel multi-model CNN framework 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2024, 卷号: 257, 页码: 18
作者:  Hou, Xingzhong;  Guan, Zhen;  Zhang, Xianwei;  Hu, Xiao;  Zou, Shuangmei;  Liang, Chunzi;  Shi, Lulin;  Zhang, Kaitai;  You, Haihang
收藏  |  浏览/下载:1/0  |  提交时间:2024/12/06
Virtual Stain  Stain-to-stain transformation  Multi-model framework  Explainable AI  Tumor budding  
Wavelet-based selection-and-recalibration network for Parkinson's disease screening in OCT images 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2024, 卷号: 256, 页码: 13
作者:  Huang, Jingqi;  Zhang, Xiaoqing;  Jin, Richu;  Xu, Tao;  Jin, Zi;  Shen, Meixiao;  Lv, Fan;  Chen, Jiangfan;  Liu, Jiang
收藏  |  浏览/下载:3/0  |  提交时间:2024/12/06
Deep learning  Parkinson's disease screening  Discrete wavelet transform  
VP-Detector: A 3D multi-scale dense convolutional neural network for macromolecule localization and classification in cryo-electron tomograms 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 221, 页码: 14
作者:  Hao, Yu;  Wan, Xiaohua;  Yan, Rui;  Liu, Zhiyong;  Li, Jintao;  Zhang, Shihua;  Cui, Xuefeng;  Zhang, Fa
收藏  |  浏览/下载:20/0  |  提交时间:2023/07/12
Cryo-ET  Sub-tomogram averaging  Particle localization  Particle classification  Convolutional neural networks  
Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 卷号: 202, 页码: 10
作者:  Wang, Yixin;  Zhang, Yao;  Liu, Yang;  Tian, Jiang;  Zhong, Cheng;  Shi, Zhongchao;  Zhang, Yang;  He, Zhiqiang
收藏  |  浏览/下载:47/0  |  提交时间:2021/12/01
COVID-19  CT image  Segmentation  Transfer learning  
AVNet: A retinal artery/vein classification network with category-attention weighted fusion 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2020, 卷号: 195, 页码: 9
作者:  Kang, Hong;  Gao, Yingqi;  Guo, Song;  Xu, Xia;  Li, Tao;  Wang, Kai
收藏  |  浏览/下载:66/0  |  提交时间:2020/12/10
Retinal images  Artery/vein classification  Deep learning  Graph model