CVJul 22, 2018
Skin Lesion Analysis Towards Melanoma Detection via End-to-end Deep Learning of Convolutional Neural Networks
arXiv:1807.08332v11 citations
Originality Synthesis-oriented
AI Analysis
This work addresses melanoma detection, a critical medical imaging problem, but appears incremental as it applies existing CNN methods to a specific challenge.
The authors tackled skin lesion analysis for melanoma detection by designing a pipeline using state-of-the-art Convolutional Neural Networks for lesion boundary segmentation and diagnosis, achieving results submitted to the 2018 ISIC challenge.
This article presents the design, experiments and results of our solution submitted to the 2018 ISIC challenge: Skin Lesion Analysis Towards Melanoma Detection. We design a pipeline using state-of-the-art Convolutional Neural Network (CNN) models for a Lesion Boundary Segmentation task and a Lesion Diagnosis task.