Machine learning approaches for diabetic foot wound segmentation: generative models vs. CNNs vs. K-Means Conference

Chiwo, Fernando S, Caro, Armando, Hamrani, Abderrachid et al. (2025). Machine learning approaches for diabetic foot wound segmentation: generative models vs. CNNs vs. K-Means . 13333 10.1117/12.3043379

cited authors

  • Chiwo, Fernando S; Caro, Armando; Hamrani, Abderrachid; Leizaola, Daniela; Sousa, Renato; Ponce, Jose P; Mathis, Stanley; Armstrong, David G; Godavarty, Anuradha

authors

date/time interval

  • January 25, 2025 -

publication date

  • January 1, 2025

keywords

  • Attention Diffusion Zero-shot Unsupervised System
  • Convolutional Neural Networks
  • Density-Based Spatial Clustering of Applications With Noise
  • K-Means Clustering
  • Optics
  • Otsu's Method
  • Physical Sciences
  • Science & Technology
  • Wounds Segmentation

Location

  • CA, San Francisco

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 13

Conference

  • 2nd Conference on Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences

publisher

  • SPIE-INT SOC OPTICAL ENGINEERING

volume

  • 13333