Enhancing Skin Cancer Diagnosis Through Fine-Tuning of Pretrained Models: A Two-Phase Transfer Learning Approach
Skin cancer is among the most prevalent types of cancer worldwide, and early detection is crucial for improving treatment outcomes and patient survival rates. Traditional diagnostic methods, often reliant on visual examination and manual evaluation, can be subjective and time-consuming, leading to v...
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | International Journal of Breast Cancer |
| Online Access: | http://dx.doi.org/10.1155/ijbc/4362941 |
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