Machine intelligence for precision oncology

doi:10.5528/wjtm.v9.i1.1

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World Journal of Translational Medicine

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2220-6132

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Transl Med. Mar 15, 2021; 9(1): 1-10
Published online Mar 15, 2021. doi: 10.5528/wjtm.v9.i1.1

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Figure 4 A neural network in deep learning of digital histopathology. The input consists of digital histopathological data derived from individuals with or without cancer. The output includes classification and diagnosis of cancer as well as predicting genetic mutations and prognosis of patients with cancer.

Citation: Yee NS. Machine intelligence for precision oncology. World J Transl Med 2021; 9(1): 1-10
URL: https://www.wjgnet.com/2220-6132/full/v9/i1/1.htm
DOI: https://dx.doi.org/10.5528/wjtm.v9.i1.1

Yee NS. Machine intelligence for precision oncology. World J Transl Med 2021; 9(1): 1-10 [DOI: 10.5528/wjtm.v9.i1.1]

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