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Predicting histopathological findings of gastric cancer via deep generalized multi-instance learning.

M. Fang, W. Zhang, D. Dong, J. Zhou, и J. Tian. Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 109491Q. SPIE, (2019)

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Fang-Fang Tang

Xing Fang

Fang Chen

Weigui Fang

Xiangfan Fang

Другие публикации лиц с тем же именем

Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes.D. Yu, Y. Zang, D. Dong, M. Zhou, O. Gevaert, M. Fang, J. Shi, и J. Tian. Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 1013426. SPIE, (2017)Radiomics analysis of DWI data to identify the rectal cancer patients qualified for local excision after neoadjuvant chemoradiotherapy.Z. Tang, Z. Liu, X. Zhang, Y. Shi, S. Wang, M. Fang, Y. Sun, E. Dong, и J. Tian. Medical Imaging: Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 1057514. SPIE, (2018)2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study.L. Meng, D. Dong, X. Chen, M. Fang, R. Wang, J. Li, Z. Liu, и J. Tian. IEEE J. Biomed. Health Informatics, 25 (3): 755-763 (2021)CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis.J. Fu, M. Fang, Z. Lin, J. Qiu, M. Yang, J. Tian, D. Dong, и Y. Zou. Vis. Comput. Ind. Biomed. Art, 7 (1): 1 (декабря 2024)The potential of prostate gland radiomic features in identifying the Gleason score.L. Gong, M. Xu, M. Fang, B. He, H. Li, X. Fang, D. Dong, и J. Tian. Comput. Biol. Medicine, (2022)Multi-task Residual Cross-attention Network for Tumor Segmentation and Lymph Node Metastasis Prediction in Cervical Cancer.S. Liu, M. Fang, D. Dong, W. Shang, и J. Tian. ISBI, стр. 1-5. IEEE, (2023)2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study.L. Meng, D. Dong, X. Chen, M. Fang, R. Wang, J. Li, Z. Liu, и J. Tian. CoRR, (2022)Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma.H. Li, W. Huang, S. Wang, P. Balasubramanian, G. Wu, M. Fang, X. Xie, J. Zhang, D. Dong, J. Tian и 1 other автор(ы). Vis. Comput. Ind. Biomed. Art, 6 (1): 23 (декабря 2023)Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer.X. Wang, C. Li, M. Fang, L. Zhang, L. Zhong, D. Dong, J. Tian, и X. Shan. BMC Medical Imaging, 21 (1): 58 (2021)Predicting histopathological findings of gastric cancer via deep generalized multi-instance learning.M. Fang, W. Zhang, D. Dong, J. Zhou, и J. Tian. Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 109491Q. SPIE, (2019)

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