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Uncertainty-aware deep learning for classifying colonic fdg-pet uptake using radiomic features

Kazuhiro Ishida1, Ko Sasaki2, Kaoru Ono2

  • 1Department of Radiology, Hiroshima Heiwa Clinic Oncologic Imaging Center Aoikai Medical Corporation, 1-31 Kawara-machi, naka-ku, Hiroshima City, 730-0856, Hiroshima, Japan. climbup_wfallto_top@outlook.com.

Radiological Physics and Technology
|April 10, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Positron emission tomography・Artificial intelligence・Deep-learning・Radiomic・Monte Carlo dropout・Risk-coverage

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