arXiv Open Access 2018

Skin Lesion Analysis Towards Melanoma Detection via End-to-end Deep Learning of Convolutional Neural Networks

Katherine M. Li Evelyn C. Li

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Abstrak

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.

Topik & Kata Kunci

cs.CV

Penulis (2)

Katherine M. Li

Evelyn C. Li

Format Sitasi

APA MLA BibTeX

Li, K.M., Li, E.C. (2018). Skin Lesion Analysis Towards Melanoma Detection via End-to-end Deep Learning of Convolutional Neural Networks. https://arxiv.org/abs/1807.08332

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Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓