Case Analysis of Image Recognition Based on Transfer Learning
This paper describes the continuous breakthroughs in accuracy in skin cancer recognition based on deep learning.However,due to the difficulty and high cost of obtaining medical image data,the large-scale practical application of skin cancer recognition is still full of challenges.To analyze the improvement effect of transfer learning on skin cancer recognition tasks,classic CNN models,EfficientNet V2 and Vision Transform were selected to compare their performance.The results indicate that in terms of balancing model inference time and inference performance,EfficientNet V2 model outperforms other models and is more suitable for use in real-world situations.
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