In this paper, we extended our previous work by developing a deeper network architecture with smaller kernels to enhance its discriminant capacity. In addition, ...
Abstract—Automatic skin lesion segmentation on dermoscopic images is an essential step in computer-aided diagnosis of melanoma.
A deeper network architecture with smaller kernels to enhance its discriminant capacity is developed and color information from multiple color spaces is ...
Sep 28, 2017 · In this paper, we present a major extension of our previous work to further enhance our model in automatic skin lesion segmentation.
Improving Dermoscopic Image Segmentation With Enhanced ...
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Automatic skin lesion segmentation on dermoscopic images is an essential step in computer-aided diagnosis of melanoma. However, this task is challenging due ...
Improving Dermoscopic Image Segmentation With Enhanced ...
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Automatic skin lesion segmentation on dermoscopic images is an essential step in computer-aided diagnosis of melanoma. However, this task is challenging due ...
Mar 6, 2019 · In this paper, we present a major extension of our previous work to further enhance our model in automatic skin lesion segmentation.
Duration: 1:19
Posted: Sep 19, 2019
Posted: Sep 19, 2019
This dissertation aims to develop better image segmentation methods using deep learning techniques for skin lesion image analysis. 1.1. PROBLEM STATEMENT. Image ...
In this paper, we propose a novel segmentation methodology via full resolution convolutional networks (FrCN).