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Texture feature analysis for prediction of postoperative liver failure prior to surgery.

, , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 903414. SPIE, (2014)

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Parameter-Efficient Methods for Metastases Detection fromClinical Notes., , , , and . Canadian AI, Canadian Artificial Intelligence Association, (2023)Texture feature analysis for prediction of postoperative liver failure prior to surgery., , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 903414. SPIE, (2014)Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105751N. SPIE, (2018)Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 1057528. SPIE, (2018)Preoperative assessment of microvascular invasion in hepatocellular carcinoma., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013410. SPIE, (2017)Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers., , , , and . MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, volume 14394 of Lecture Notes in Computer Science, page 311-321. Springer, (2023)Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach., , , , , , , , , and 6 other author(s). IEEE J. Biomed. Health Informatics, 27 (5): 2456-2464 (May 2023)Quantification of CT images for the classification of high- and low-risk pancreatic cysts., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101340X. SPIE, (2017)Texture analysis for survival prediction of pancreatic ductal adenocarcinoma patients with neoadjuvant chemotherapy., , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97841W. SPIE, (2016)Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver Metastases., , , , , , , , , and . UNSURE@MICCAI, volume 14291 of Lecture Notes in Computer Science, page 42-52. Springer, (2023)