A feature explainability-based deep learning technique for diabetic foot ulcer identification
This study employs a model that has been previously trained to extract visual data from diabetic foot photos and uses...
This study employs a model that has been previously trained to extract visual data from diabetic foot photos and uses...
The result section demonstrates the proposed model’s efficacy in predicting reasonably accurate outcomes across various test scenarios. Key performance metrics,...
Once the features are extracted, the colon cancer classification is performed using machine learning and metaheuristic classifiers. In our research,...
For the past ten months, 17-year-old Lucia “Lucy” Miano has made her home in Estes Park, Colo. She is from...
In recent years, the rise of machine learning methods, especially deep learning, had greatly promoted the development of prediction of...