A superpixel-driven deep learning approach for the analysis of dermatological wounds.
Blanco, Gustavo
A superpixel-driven deep learning approach for the analysis of dermatological wounds. [electronic resource] - Computer methods and programs in biomedicine Jan 2020 - 105079 p. digital
Publication Type: Journal Article
1872-7565
10.1016/j.cmpb.2019.105079 doi
Algorithms
Area Under Curve
Bayes Theorem
Deep Learning
Dermatology--methods
Diagnosis, Computer-Assisted--methods
Humans
Image Processing, Computer-Assisted--methods
Machine Learning
Pattern Recognition, Automated--methods
Principal Component Analysis
Reproducibility of Results
Sensitivity and Specificity
Skin Ulcer--diagnostic imaging
Support Vector Machine
A superpixel-driven deep learning approach for the analysis of dermatological wounds. [electronic resource] - Computer methods and programs in biomedicine Jan 2020 - 105079 p. digital
Publication Type: Journal Article
1872-7565
10.1016/j.cmpb.2019.105079 doi
Algorithms
Area Under Curve
Bayes Theorem
Deep Learning
Dermatology--methods
Diagnosis, Computer-Assisted--methods
Humans
Image Processing, Computer-Assisted--methods
Machine Learning
Pattern Recognition, Automated--methods
Principal Component Analysis
Reproducibility of Results
Sensitivity and Specificity
Skin Ulcer--diagnostic imaging
Support Vector Machine