Holistic multi-class classification & grading of diabetic foot ulcerations from plantar thermal images using deep learning.
Shishir MuralidharaAdriano LucieriAndreas DengelSheraz AhmedPublished in: Health information science and systems (2022)
To the best of our knowledge, this study sets a new state-of-the-art in plantar foot thermogram detection and grading, while being the first to implement a holistic multi-class classification and grading solution. Reliable automatic thermogram grading is a first step towards the development of smart health devices for DM patients.
Keyphrases
- deep learning
- convolutional neural network
- machine learning
- artificial intelligence
- healthcare
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- type diabetes
- patient reported outcomes
- adipose tissue
- climate change
- optical coherence tomography
- patient reported
- real time pcr
- quantum dots
- social media