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 3 A neural network in deep learning of radiological images. The input consists of data derived from radiological images from individuals with cancer or without cancer. The output includes detection and classification of tumors.

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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