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Zhenbing Liu

Showing results (21-30 of 28) with videos related to

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Biomed Research International|July 18, 2022
Histopathological Tissue Segmentation of Lung Cancer with Bilinear CNN and Soft AttentionRui Xu, Zhizhen Wang, Zhenbing Liu, et al.
Heliyon|May 23, 2024
Spatial distance between tumor and lymphocyte can predict the survival of patients with resectable lung adenocarcinomaXipeng Pan, Siyang Feng, Yumeng Wang, et al.
Medical Image Analysis|June 22, 2023
SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotationsXipeng Pan, Jijun Cheng, Feihu Hou, et al.
Computational Biology and Chemistry|August 17, 2025
A novel network for resolving subjective masking differences and accurate thyroid nodule diagnosisZhiyuan Ouyang, Simei Huang, Liuju Liang, et al.
Computer Methods and Programs in Biomedicine|May 26, 2023
Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre studyZhengyun Feng, Huan Lin, Zaiyi Liu, et al.
Iscience|September 4, 2023
Computerized tertiary lymphoid structures density on H&E-images is a prognostic biomarker in resectable lung adenocarcinomaYumeng Wang, Huan Lin, Ningning Yao, et al.
Journal of Translational Medicine|December 14, 2022
Multi-scale pathology image texture signature is a prognostic factor for resectable lung adenocarcinoma: a multi-center, retrospective studyYumeng Wang, Xipeng Pan, Huan Lin, et al.
Iscience|December 12, 2022
Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinomaXipeng Pan, Huan Lin, Chu Han, et al.
Pageof 3

Showing results (21-30 of 28) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 28 results.
Biomed Research International|July 18, 2022
Histopathological Tissue Segmentation of Lung Cancer with Bilinear CNN and Soft AttentionRui Xu, Zhizhen Wang, Zhenbing Liu, et al.
Heliyon|May 23, 2024
Spatial distance between tumor and lymphocyte can predict the survival of patients with resectable lung adenocarcinomaXipeng Pan, Siyang Feng, Yumeng Wang, et al.
Medical Image Analysis|June 22, 2023
SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotationsXipeng Pan, Jijun Cheng, Feihu Hou, et al.
Computational Biology and Chemistry|August 17, 2025
A novel network for resolving subjective masking differences and accurate thyroid nodule diagnosisZhiyuan Ouyang, Simei Huang, Liuju Liang, et al.
Computer Methods and Programs in Biomedicine|May 26, 2023
Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre studyZhengyun Feng, Huan Lin, Zaiyi Liu, et al.
Iscience|September 4, 2023
Computerized tertiary lymphoid structures density on H&E-images is a prognostic biomarker in resectable lung adenocarcinomaYumeng Wang, Huan Lin, Ningning Yao, et al.
Journal of Translational Medicine|December 14, 2022
Multi-scale pathology image texture signature is a prognostic factor for resectable lung adenocarcinoma: a multi-center, retrospective studyYumeng Wang, Xipeng Pan, Huan Lin, et al.
Iscience|December 12, 2022
Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinomaXipeng Pan, Huan Lin, Chu Han, et al.
Pageof 3