CVMar 4, 2017
Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks
arXiv:1703.01402v17 citations
Originality Synthesis-oriented
AI Analysis
This work addresses automated diagnosis of skin lesions for medical imaging, but it appears incremental as it applies an existing method to a specific dataset.
The authors tackled skin lesion classification by fine-tuning a pre-trained Inception-v3 network on multi-scale input images for the ISIC 2017 challenge, but no concrete results or numbers are provided in the abstract.
We present a deep learning approach to the ISIC 2017 Skin Lesion Classification Challenge using a multi-scale convolutional neural network. Our approach utilizes an Inception-v3 network pre-trained on the ImageNet dataset, which is fine-tuned for skin lesion classification using two different scales of input images.