CVMar 1, 2017
ISIC 2017 - Skin Lesion Analysis Towards Melanoma Detection
arXiv:1703.00523v1220 citations
Originality Synthesis-oriented
AI Analysis
This work addresses melanoma detection for medical imaging, but it is incremental as it applies existing methods to a specific dataset.
The paper tackled skin lesion segmentation and classification for melanoma detection in the ISIC 2017 challenge, using deep convolutional networks to achieve the challenge objective.
Our system addresses Part 1, Lesion Segmentation and Part 3, Lesion Classification of the ISIC 2017 challenge. Both algorithms make use of deep convolutional networks to achieve the challenge objective.