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Development of a Malignancy Potential Binary Prediction Model Based on Deep Learning for the Mitotic Count of Local Primary Gastrointestinal Stromal Tumors

PaperCitations, authors & open-access status

Development of a Malignancy Potential Binary Prediction Model Based on Deep Learning for the Mitotic Count of Local Primary Gastrointestinal Stromal Tumors is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 14 citations, 2020 year and hybrid oa status.

14
Citations
2020
Year
hybrid
OA Status

Related on ScholarIQ

Feifei Jin
Author
Korean Journal of Radiology
Journal
Gastrointestinal Tumor Research and Treatment
Topic
Gastrointestinal Tumor Research and Treatment
Topic
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Topic
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