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Missed cancer and visual search of mammograms: what feature based machine-learning can tell us that deep-convolution learning cannot.

, , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 1095216. SPIE, (2019)

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Missed cancer and visual search of mammograms: what feature based machine-learning can tell us that deep-convolution learning cannot., , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 1095216. SPIE, (2019)Can a Machine Learn from Radiologists' Visual Search Behaviour and Their Interpretation of Mammograms - a Deep-Learning Study., , and . J. Digit. Imaging, 32 (5): 746-760 (2019)A deep (learning) dive into visual search behaviour of breast radiologists., , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10577 of SPIE Proceedings, page 1057708. SPIE, (2018)Modelling the interpretation of digital mammography using high order statistics and deep machine learning.. University of Sydney, Australia, (2018)base-search.net (ftunivsydney:oai:ses.library.usyd.edu.au:2123/19987).