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Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks

Computer Vision and Pattern Recognition 2017-03-07 v1
Authors: Terrance DeVries , Dhanesh Ramachandram
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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.

Keywords

deep learning for image classification convolutional neural network medical image analysis

Cite

@article{arxiv.1703.01402,
  title  = {Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks},
  author = {Terrance DeVries and Dhanesh Ramachandram},
  journal= {arXiv preprint arXiv:1703.01402},
  year   = {2017}
}

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