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Xiabi Liu

Showing results (1-10 of 17) with videos related to

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Medical & Biological Engineering & Computing|March 4, 2020
A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseasesLing Ma, Xiabi Liu, Baowei Fei
Physics in Medicine and Biology|December 30, 2016
Learning with distribution of optimized features for recognizing common CT imaging signs of lung diseasesLing Ma, Xiabi Liu, Baowei Fei
Proceedings of Spie--The International Society for Optical Engineering|July 5, 2022
Computer-aided Classification of Lung Nodules on CT Images with Expert KnowledgeChuangye Wan, Ling Ma, Xiabi Liu, et al.
Biomed Research International|May 29, 2020
A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in MammogramsSaid Boumaraf, Xiabi Liu, Chokri Ferkous, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 27, 2022
Automatic Segmentation of the Prostate on MR Images based on Anatomy and Deep LearningLei Tao, Ling Ma, Maoqiang Xie, et al.
Medical & Biological Engineering & Computing|June 7, 2018
Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNsGuanghui Han, Xiabi Liu, Guangyuan Zheng, et al.
Journal of Biomedical Informatics|January 11, 2017
A new method of content based medical image retrieval and its applications to CT imaging sign retrievalLing Ma, Xiabi Liu, Yan Gao, et al.
IEEE Journal of Biomedical and Health Informatics|December 9, 2014
Recognizing common CT imaging signs of lung diseases through a new feature selection method based on Fisher criterion and genetic optimizationXiabi Liu, Ling Ma, Li Song, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 3, 2014
A new classifier fusion method based on historical and on-line classification reliability for recognizing common CT imaging signs of lung diseasesLing Ma, Xiabi Liu, Li Song, et al.
IEEE Journal of Biomedical and Health Informatics|January 20, 2021
Integrating Lung Parenchyma Segmentation and Nodule Detection With Deep Multi-Task LearningWeihua Liu, Xiabi Liu, Huiyu Li, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Medical & Biological Engineering & Computing|March 4, 2020
A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseasesLing Ma, Xiabi Liu, Baowei Fei
Physics in Medicine and Biology|December 30, 2016
Learning with distribution of optimized features for recognizing common CT imaging signs of lung diseasesLing Ma, Xiabi Liu, Baowei Fei
Proceedings of Spie--The International Society for Optical Engineering|July 5, 2022
Computer-aided Classification of Lung Nodules on CT Images with Expert KnowledgeChuangye Wan, Ling Ma, Xiabi Liu, et al.
Biomed Research International|May 29, 2020
A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in MammogramsSaid Boumaraf, Xiabi Liu, Chokri Ferkous, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 27, 2022
Automatic Segmentation of the Prostate on MR Images based on Anatomy and Deep LearningLei Tao, Ling Ma, Maoqiang Xie, et al.
Medical & Biological Engineering & Computing|June 7, 2018
Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNsGuanghui Han, Xiabi Liu, Guangyuan Zheng, et al.
Journal of Biomedical Informatics|January 11, 2017
A new method of content based medical image retrieval and its applications to CT imaging sign retrievalLing Ma, Xiabi Liu, Yan Gao, et al.
IEEE Journal of Biomedical and Health Informatics|December 9, 2014
Recognizing common CT imaging signs of lung diseases through a new feature selection method based on Fisher criterion and genetic optimizationXiabi Liu, Ling Ma, Li Song, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 3, 2014
A new classifier fusion method based on historical and on-line classification reliability for recognizing common CT imaging signs of lung diseasesLing Ma, Xiabi Liu, Li Song, et al.
IEEE Journal of Biomedical and Health Informatics|January 20, 2021
Integrating Lung Parenchyma Segmentation and Nodule Detection With Deep Multi-Task LearningWeihua Liu, Xiabi Liu, Huiyu Li, et al.
Pageof 2