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Quantitative Study of Ductal Breast Cancer Progression

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Year: 1996
Type: article
Source: Pathology - Research and Practice
DOI: 10.1016/s0344-0338(96)80004-5
Authors: G.M. Mariuzzi, L. Mariuzzi, A. Mombello, A. Santinelli, M. Valli, D. Rahal, D. Thompson, P.H. Bartels
Institutions: University of Verona, University of Udine, University of Arizona
Language: English

Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: closed

Funders: Associazione Italiana per la Ricerca sul Cancro, National Cancer Institute
Award: G809936075
OpenAlex ID: W164492016
FWCI: 2.768
Cites: 22
Cited by: 15
Related to: 10
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