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Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries.

, , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12467 of SPIE Proceedings, SPIE, (2023)

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An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists., , , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11599 of SPIE Proceedings, SPIE, (2021)Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries., , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12467 of SPIE Proceedings, SPIE, (2023)Global mammographic radiomic signature can predict radiologists' difficult-to-interpret normal cases., , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12467 of SPIE Proceedings, SPIE, (2023)Hippocampal shape analysis in the Laplace Beltrami feature space for temporal lobe epilepsy diagnosis and lateralization., , , and . ISBI, page 150-153. IEEE, (2012)A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography., , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11599 of SPIE Proceedings, SPIE, (2021)MuDeRN: Multi-category classification of breast histopathological image using deep residual networks., , and . Artif. Intell. Medicine, (2018)Added benefits of computer-assisted analysis of Hematoxylin-Eosin stained breast histopathological digital slides.. University of Sydney, Australia, (2018)base-search.net (ftunivsydney:oai:ses.library.usyd.edu.au:2123/18991).A cognitive approach to determine the benefits of pairing radiologists in mammogram reading., , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10577 of SPIE Proceedings, page 1057704. SPIE, (2018)False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms., , , , , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12467 of SPIE Proceedings, SPIE, (2023)A framework for distinguishing benign from malignant breast histopathological images using deep residual networks., , and . IWBI, volume 10718 of SPIE Proceedings, page 107180U. SPIE, (2018)