Using clinical images in DL systems may improve skin cancer detection by providing a more inclusive representation of real-world lesions. DenseNet models outperformed others in binary classification, ...
In a recent review published in the Life Journal, a group of authors reviewed image-processing techniques in machine learning (ML) for skin cancer detection using clinical images, evaluating their ...
PD Dr. Tobias Lasser (left) and Dr. Krammer work on the new algorithm FusionM4Net for the classification of skin lesions. Credit: LMU Klinikum München Dermatologists typically classify skin lesions ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results