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

Kazuhiro Ishida, Ko Sasaki, Kaoru Ono, Yutaka Hirokawa

Open source

DOI: 10.1007/s12194-026-01044-y
Published: 2026-04-10
Container: Radiological Physics and Technology
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s12194-026-01044-y,
  title = {Uncertainty-aware deep learning for classifying colonic fdg-pet uptake using radiomic features},
  author = {Kazuhiro Ishida and Ko Sasaki and Kaoru Ono and Yutaka Hirokawa},
  year = {2026},
  journal = {Radiological Physics and Technology},
  doi = {10.1007/s12194-026-01044-y},
  url = {https://doi.org/10.1007/s12194-026-01044-y}
}

RIS

TY  - JOUR
TI  - Uncertainty-aware deep learning for classifying colonic fdg-pet uptake using radiomic features
AU  - Kazuhiro Ishida
AU  - Ko Sasaki
AU  - Kaoru Ono
AU  - Yutaka Hirokawa
PY  - 2026
JO  - Radiological Physics and Technology
DO  - 10.1007/s12194-026-01044-y
UR  - https://doi.org/10.1007/s12194-026-01044-y
ER  -

APA

Ishida, K., Sasaki, K., Ono, K., & Hirokawa, Y. (2026). Uncertainty-aware deep learning for classifying colonic fdg-pet uptake using radiomic features. Radiological Physics and Technology. https://doi.org/10.1007/s12194-026-01044-y

Source records

crossref · retrieved 2026-09-26T12:28:54.740Z