• Corpus ID: 34764232

Araguaia Medical Vision Lab at ISIC 2017 Skin Lesion Classification Challenge

  title={Araguaia Medical Vision Lab at ISIC 2017 Skin Lesion Classification Challenge},
  author={Rafael Teixeira Sousa and Larissa Vasconcellos de Moraes},
This paper describes the participation of Araguaia Medical Vision Lab at the International Skin Imaging Collaboration 2017 Skin Lesion Challenge. We describe the use of deep convolutional neural networks in attempt to classify images of Melanoma and Seborrheic Keratosis lesions. With use of finetuned GoogleNet and AlexNet we attained results of 0.950 and 0.846 AUC on Seborrheic Keratosis and Melanoma respectively. 

Automatic histologically-closer classification of skin lesions

Deep Learning in Dermatology: A Systematic Review of Current Approaches, Outcomes, and Limitations

Skin lesion classification with ensembles of deep convolutional neural networks

  • B. Harangi
  • Computer Science
    J. Biomed. Informatics
  • 2018

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