David Gutman to Skin Neoplasms
This is a "connection" page, showing publications David Gutman has written about Skin Neoplasms.
Connection Strength
1.360
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Digital imaging applications and informatics in dermatology. Semin Cutan Med Surg. 2019 Mar 01; 38(1):E43-E48.
Score: 0.477
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Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge. Lancet Digit Health. 2022 05; 4(5):e330-e339.
Score: 0.149
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A patient-centric dataset of images and metadata for identifying melanomas using clinical context. Sci Data. 2021 01 28; 8(1):34.
Score: 0.136
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Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017. J Am Acad Dermatol. 2020 Mar; 82(3):622-627.
Score: 0.122
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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: 0.122
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Diagnostic accuracy of whole slide imaging for cutaneous, soft tissue, and melanoma sentinel lymph node biopsies with and without immunohistochemistry. J Cutan Pathol. 2018 Aug; 45(8):597-602.
Score: 0.113
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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: 0.108
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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: 0.100
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Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers. Cancer Res. 2021 02 15; 81(4):1171-1177.
Score: 0.034