David Gutman to Algorithms
This is a "connection" page, showing publications David Gutman has written about Algorithms.
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Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study. Lancet Oncol. 2019 07; 20(7):938-947.
Score: 0.109
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Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images. J Am Acad Dermatol. 2018 02; 78(2):270-277.e1.
Score: 0.097
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Mapping of the mouse olfactory system with manganese-enhanced magnetic resonance imaging and diffusion tensor imaging. Brain Struct Funct. 2013 Mar; 218(2):527-37.
Score: 0.066
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Diffusion-weighted imaging of the brain at 7 T with echo-planar and turbo spin echo sequences: preliminary results. Magn Reson Imaging. 2011 Jul; 29(6):752-65.
Score: 0.062
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Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers. Cancer Res. 2021 02 15; 81(4):1171-1177.
Score: 0.030
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Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019 09 15; 35(18):3461-3467.
Score: 0.028
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Predicting cancer outcomes from histology and genomics using convolutional networks. Proc Natl Acad Sci U S A. 2018 03 27; 115(13):E2970-E2979.
Score: 0.025
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Multi-scale classification based lesion segmentation for dermoscopic images. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug; 2016:1361-1364.
Score: 0.022
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A combinatorial radiographic phenotype may stratify patient survival and be associated with invasion and proliferation characteristics in glioblastoma. J Neurosurg. 2016 Apr; 124(4):1008-17.
Score: 0.021