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Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images., , , , , , and . IEEE Trans. Med. Imaging, 15 (5): 598-610 (1996)3D convolutional neural network for automatic detection of lung nodules in chest CT., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013409. SPIE, (2017)Inter- and Intra-Observer Variability of Radiologists Evaluating CBIR Systems., , , , , , and . Digital Mammography / IWDM, volume 7361 of Lecture Notes in Computer Science, page 482-489. Springer, (2012)Time-frequency distribution inversion of the Radon transform image reconstruction., and . IEEE Trans. Image Process., 2 (4): 539-543 (1993)Digital Mammography DREAM Challenge Overview (Conference Presentation).. Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101344I. SPIE, (2017)Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning., , , , , , and . IEEE Trans. Medical Imaging, 31 (5): 1141-1153 (2012)Reproducibility of CT-based texture feature quantification of simulated and 3D-printed trabecular bone: influence of noise and reconstruction kernel., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109501S. SPIE, (2019)Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095004. SPIE, (2019)AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks., , , and . EMBC, page 1-5. IEEE, (2023)DICaugment: A Python Package for 3D Medical Imaging Augmentation., , , , and . J. Open Source Softw., 9 (96): 6120 (April 2024)