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Pigeons (Columba livia) as Trainable Observers of Pathology and Radiology Breast Cancer Images, , , and . PLOS ONE, 10 (11): 1-21 (November 2015)Increasing display luminance as a means to enhance interpretation accuracy and efficiency when reducing full-field digital mammography dose.. IWBI, volume 10718 of SPIE Proceedings, page 1071822. SPIE, (2018)ACR-AAPM-SIIM Practice Guideline for Digital Radiography., , , , , , , , , and 2 other author(s). J. Digital Imaging, 26 (1): 26-37 (2013)Evaluation of a flat CRT monitor for use in radiology., , and . J. Digital Imaging, 14 (3): 142-148 (2001)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)GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification., , , , , , , , , and . CoRR, (2023)Optimizing the image contrast on the softcopy displays., , , and . Medical Imaging: Image-Guided Procedures, volume 6141 of SPIE Proceedings, page 61410W. SPIE, (2006)Error diffusion applied to the manipulation of liquid-crystal display subpixels., , , and . Medical Imaging: Image-Guided Procedures, volume 5367 of SPIE Proceedings, SPIE, (2004)Physical and psychophysical evaluation of LCD noise., , , and . CARS, volume 1268 of International Congress Series, page 341-346. Elsevier, (2004)Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning., , , , and . Int. J. Comput. Biol. Drug Des., 3 (1): 15-18 (2010)