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Assisgnment project on Python

Python ideas   Publish on -  2024-04-28
Kanza Arshad
Kanza Arshad
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Assisgnment project abstract


Assisgnment project description

A Unified Approach through Hybrid Models and U-Net Architecture The overarching objective of this research is to contribute to the development of more accurate, interpretable, and adaptable skin cancer detection methods. Specific objectives include: 1. Integration of GANs with U-Net architectures to create a novel hybrid model for skin cancer detection. 2. Exploration of the UNet architecture's potential in enhancing generalization across diverse skin types, lesion variations, and imaging conditions. 3. Fine-tuning the hybrid model to address challenges associated with skin tone variations and unique features inherent in different skin types. 4. Rigorous evaluation of both the hybrid model and the UNet-based approach using standard metrics, including accuracy, sensitivity, specificity, and the dice coefficient. 5. Comparative analysis with existing skin cancer detection models to validate improvements in accuracy, robustness, and generalization.

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