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Tomokazu Omori

University of Tokyo - Department of Surgery

SCHOLARLY PAPERS

2

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272

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Scholarly Papers (2)

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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
Tomokazu Omori, Akira Saito, Yoshihisa Shimada, Masahiko Kuroda and Norihiko Ikeda
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)

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

2.

Prognostic Impact of Artificial Intelligence-Based Volumetric Quantification of the Solid Part of the Tumor in Clinical Stage I Adenocarcinoma

Number of pages: 27 Posted: 02 May 2022
Yohei Kawaguchi, Yoshihisa Shimada, Kotaro Murakami, Tomokazu Omori, Yujin Kudo, Yojiro Makino, Sachio Maehara, Masaru Hagiwara, Masatoshi Kakihana, Takafumi Yamada, Jun Matsubayashi, Tatsuo Ohira and Norihiko Ikeda
University of Tokyo - Department of Surgery, University of Tokyo - Department of Surgery, University of Tokyo - Department of Surgery, University of Tokyo - Department of Surgery, University of Tokyo - Department of Surgery, University of Tokyo - Department of Surgery, University of Tokyo - Department of Surgery, University of Tokyo - Department of Surgery, Tokyo Medical University - Department of General Thoracic Surgery, affiliation not provided to SSRN, affiliation not provided to SSRN, Tokyo Medical University and Tokyo Medical University
Downloads 59 (970,490)

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Artificial intelligence, three-dimensional convolutional network, part-solid nodule, adenocarcinoma, three-dimensional volumetric analysis.