MONITORING AND ANALYZING DIABETIC FOOT ULCER USING RESNET50 IN DEEP LEARNING
MONITORING AND ANALYZING DIABETIC FOOT ULCER USING RESNET50 IN DEEP LEARNING
D. G,Dr. A. Vijaya
2023 · DOI: 10.55041/ijsrem25998
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 0 Citations
TLDR
This paper introduces a deep learning approach using the ResNet50 algorithm within Google Colab to detect diabetic foot ulcers, offering a cost-effective solution for timely intervention in diabetic foot Ulcers, there by improving patient outcomes.
Abstract
This paper introduces a deep learning approach using the ResNet50 algorithm within Google Colab to detect diabetic foot ulcers. Early identification of these ulcers is crucial to prevent leg amputations. Leveraging a diverse dataset, the model exhibits high accuracy and sensitivity, offering a cost-effective solution for timely intervention in diabetic foot ulcers, there by improving patient outcomes.