DermoNet: densely linked convolutional neural network for efficient skin lesion segmentation

DermoNet: densely linked convolutional neural network for efficient skin lesion segmentation

Abstract Recent state-of-the-art methods for skin lesion segmentation are based on convolutional neural networks (CNNs). Even though these CNN-based segmentation approaches are accurate, they are computationally expensive. In this paper, we address this problem and propose an efficient fully convolu...

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Bibliographic Details
Main Authors: Saleh Baghersalimi, Behzad Bozorgtabar, Philippe Schmid-Saugeon, Hazım Kemal Ekenel, Jean-Philippe Thiran
Format: Article
Language:English
Published: SpringerOpen 2019-07-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Fully convolutional neural networks
Lesion segmentation
Online Access:http://link.springer.com/article/10.1186/s13640-019-0467-y

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