Plantar Thermogram Analysis Using Deep Learning for Diabetic Foot Risk Classification
These results suggest that thermography combined with deep learning could be developed for screening purposes to stratify patients at risk of developing diabetic foot ulcers.
Authors
- Panu Looareesuwan (ORCID: https://orcid.org/0000-0001-8179-9149)
- Prapai Ariyaprayoon
- La‐or Chailurkit (ORCID: https://orcid.org/0000-0002-1603-979X)
- Boonsong Ongphiphadhanakul (ORCID: https://orcid.org/0000-0002-3558-1621)
- Vipawee Panamonta
- Chutintorn Sriphrapradang (ORCID: https://orcid.org/0000-0001-8294-8601)
- Ratanaporn Jerawatana (ORCID: https://orcid.org/0000-0003-4230-1787)
- Benyapa Ongphiphadhanakul
Institutions
- Mahidol University (TH)
- Ramathibodi Hospital (TH)
Publication Details
- Journal
- Journal of Diabetes Science and Technology
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1177/19322968251316563
- Citations
- 4
- Primary Topic
- Infrared Thermography in Medicine
- Type
- article
- Field-Weighted Citation Impact
- 5.44