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Akira Saito

Tokyo Medical University

Tokyo

Japan

SCHOLARLY PAPERS

1

DOWNLOADS

213

TOTAL CITATIONS

0

Scholarly Papers (1)

1.

Predictive Performance of Postoperative Recurrence in Lung Squamous Cell Carcinoma Using Machine Learning Based on Nuclear Morphological Features

Number of pages: 32 Posted: 12 Feb 2025
University of Tokyo - Department of Surgery, Tokyo Medical University, University of Tokyo - Department of Surgery, Tokyo Medical University - Department of Molecular Pathology and Tokyo Medical University
Downloads 213 (359,492)

Abstract:

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artificial intelligence, lung cancer, Squamous cell carcinoma, Digital pathology, Recurrence