-
1
Skin lesions encompass a range of dermatological conditions, from benign issues to malignant cancers like melanoma, which poses significant health risks.
-
2
Accurate detection of skin disorders is crucial, as delayed diagnosis can lead to severe outcomes, particularly in the case of skin cancer.
-
3
Artificial intelligence, particularly machine learning and deep learning, shows promise in automating skin lesion detection but faces challenges like bias and limited interpretability.
-
4
The proposed Tri-Path Attention Stacked Ensemble model addresses issues of class imbalance, feature emphasis, and model performance in skin lesion classification.
-
5
Innovative attention mechanisms and pre-prediction stacking configurations were developed to enhance feature representation and predictive accuracy in skin lesion detection.
