Author of the publication

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

, , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109491Q. SPIE, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis., , , , , , , and . Vis. Comput. Ind. Biomed. Art, 7 (1): 1 (December 2024)Multi-task Residual Cross-attention Network for Tumor Segmentation and Lymph Node Metastasis Prediction in Cervical Cancer., , , , und . ISBI, Seite 1-5. IEEE, (2023)Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer., , , , , , , , und . Medical Imaging: Computer-Aided Diagnosis, Volume 10134 von SPIE Proceedings, Seite 101343R. SPIE, (2017)Predicting histopathological findings of gastric cancer via deep generalized multi-instance learning., , , , und . Medical Imaging: Image Processing, Volume 10949 von SPIE Proceedings, Seite 109491Q. SPIE, (2019)Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes., , , , , , , und . Medical Imaging: Computer-Aided Diagnosis, Volume 10134 von SPIE Proceedings, Seite 1013426. SPIE, (2017)Radiomics analysis of DWI data to identify the rectal cancer patients qualified for local excision after neoadjuvant chemoradiotherapy., , , , , , , , und . Medical Imaging: Computer-Aided Diagnosis, Volume 10575 von SPIE Proceedings, Seite 1057514. SPIE, (2018)2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study., , , , , , , und . IEEE J. Biomed. Health Informatics, 25 (3): 755-763 (2021)Using multi-task learning to improve diagnostic performance of convolutional neural networks., , , , , , und . Medical Imaging: Computer-Aided Diagnosis, Volume 10950 von SPIE Proceedings, Seite 109501V. SPIE, (2019)Learning evaluation of ultrasound image segmentation using combined measures., , und . Medical Imaging: Computer-Aided Diagnosis, Volume 9785 von SPIE Proceedings, Seite 97853R. SPIE, (2016)