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AI and Quantum Computing in Melanoma Diagnosis by nawinraju08 is a document available to read on EtoBox.

This study introduces a hybrid deep learning and quantum computing approach for melanoma diagnosis, utilizing a U-Net model for segmentation and a CNN-QNN model for classification. The proposed method achieved high precision (99.67%), recall (99.67%), and overall accuracy (99.35%) on the HAM10000 dataset, significantly outperforming traditional CNN classifiers. The research highlights the potential of AI in enhancing diagnostic accuracy and supporting dermatologists in clinical decision-making.

Author

nawinraju08

Language

EN