Integrating Explanations into CNNs by Adopting Spiking Attention Block for Skin Cancer Detection
Inzamam Mashood Nasir,
Sara Tehsin,
Robertas Damaševičius
et al.
Abstract:Lately, there has been a substantial rise in the number of identified individuals with skin cancer, making it the most widespread form of cancer worldwide. Until now, several machine learning methods that utilize skin scans have been directly employed for skin cancer classification, showing encouraging outcomes in terms of enhancing diagnostic precision. In this paper, multimodal Explainable Artificial Intelligence (XAI) is presented that offers explanations that (1) address a gap regarding interpretation by i… Show more
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