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Identifying out of distribution samples for skin cancer and malaria images.

, , , , , and . Biomed. Signal Process. Control., (2022)

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How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis., , , and . ISBI, page 240-244. IEEE, (2018)TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process., , , , and . ISBI, page 1007-1010. IEEE, (2017)Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis., , , , , and . ISBI, page 800-804. IEEE, (2018)Supervised and Unsupervised Tumor Characterization in the Deep Learning Era., , , , , and . CoRR, (2018)Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning., , , and . IPMI, volume 10265 of Lecture Notes in Computer Science, page 249-260. Springer, (2017)Estimation of BMI from facial images using semantic segmentation based region-aware pooling., , and . Comput. Biol. Medicine, (2021)Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis., , and . CoRR, (2024)A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation., , , , , , , , , and . CoRR, (2018)Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks., , , and . CoRR, (2022)Identifying out of distribution samples for skin cancer and malaria images., , , , , and . Biomed. Signal Process. Control., (2022)