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Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI Conference paper
Lv, Tianxu, Liu, Yuan, Miao, Kai, Li, Lihua, Pan, Xiang. Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI[C]:SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2023, 100-109.
Authors:  Lv, Tianxu;  Liu, Yuan;  Miao, Kai;  Li, Lihua;  Pan, Xiang
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2024/02/22
Cancer Segmentation  Dce-mri  Deep Learning  Denoising Diffusion Model  Kinetic Representation  
A hybrid hemodynamic knowledge-powered and feature reconstruction-guided scheme for breast cancer segmentation based on DCE-MRI Journal article
Lv, Tianxu, Wu, Youqing, Wang, Yihang, Liu, Yuan, Li, Lihua, Deng, Chuxia, Pan, Xiang. A hybrid hemodynamic knowledge-powered and feature reconstruction-guided scheme for breast cancer segmentation based on DCE-MRI[J]. Medical Image Analysis, 2022, 82, 102572.
Authors:  Lv, Tianxu;  Wu, Youqing;  Wang, Yihang;  Liu, Yuan;  Li, Lihua; et al.
Favorite | TC[WOS]:10 TC[Scopus]:12  IF:10.7/11.9 | Submit date：2022/12/01
Breast Cancer Segmentation  Dce-mri  Feature Reconstruction  Hemodynamic Knowledge  
Joint model- and immunohistochemistry-driven few-shot learning scheme for breast cancer segmentation on 4D DCE-MRI Journal article
Youqing Wu, Yihang Wang, Heng Sun, Chunjuan Jiang, Bo Li, Lihua Li, Xiang Pan. Joint model- and immunohistochemistry-driven few-shot learning scheme for breast cancer segmentation on 4D DCE-MRI[J]. Applied Intelligence, 2022, 53(11), 14602-14614.
Authors:  Youqing Wu;  Yihang Wang;  Heng Sun;  Chunjuan Jiang;  Bo Li; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.4/3.9 | Submit date：2023/01/30
Breast Cancer Segmentation  Few-shot Learning  Immunohistochemistry  Model-driven  Molecular Subtypes  
Group theoretic particle swarm optimization for multi-level threshold lung cancer image segmentation Journal article
Lan, Kun, Zhou, Jianqiang, Jiang, Xiaoliang, Wang, Jun, Huang, Shigao, Yang, Jie, Song, Qun, Tang, Rui, Gong, Xueyuan, Liu, Kexing, Wu, Yaoyang, Li, Tengyue. Group theoretic particle swarm optimization for multi-level threshold lung cancer image segmentation[J]. Quantitative Imaging in Medicine and Surgery, 2022, 13(3), 1312-1322.
Authors:  Lan, Kun;  Zhou, Jianqiang;  Jiang, Xiaoliang;  Wang, Jun;  Huang, Shigao; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:2.9/3.2 | Submit date：2023/04/03
Evolutionary Computation  Group Theory  Lung Cancer Detection  Medical Image Segmentation  Metaheuristic  
Eso-Net: A Novel 2.5D Segmentation Network with the Multi-Structure Response Filter for the Cancerous Esophagus Journal article
Zhou,Donghao, Huang,Guoheng, Li,Jiajian, Zhu,Siyu, Wang,Zhuowei, Ling,Bingo Wing Kuen, Pun,Chi Man, Cheng,Lianglun, Cai,Xiuyu, Zhou,Jian. Eso-Net: A Novel 2.5D Segmentation Network with the Multi-Structure Response Filter for the Cancerous Esophagus[J]. IEEE Access, 2020, 8, 155548-155562.
Authors:  Zhou,Donghao;  Huang,Guoheng;  Li,Jiajian;  Zhu,Siyu;  Wang,Zhuowei; et al.
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:3.4/3.7 | Submit date：2021/03/11
Attention Mechanism  Deep Learning  Enhancement Filter  Esophageal Cancer  Medical Image Segmentation