390 citations · 675 across the 6 of their papers we have counts for
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3 papers · 1 filter
cs.CV2017★ 77 cited
Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation
Yading Yuan
Automatic segmentation of liver and its tumors is an essential step for extracting quantitative imaging biomarkers for accurate tumor detection, diagnosis, prognosis and assessment…
cs.CV2017★ 6 cited
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks
Yading Yuan, Yeh-Chi Lo
Automatic skin lesion segmentation on dermoscopic images is an essential step in computer-aided diagnosis of melanoma. However, this task is challenging due to significant variatio…
cs.CV2017★ 195 cited
Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
Yading Yuan
This paper summarizes our method and validation results for the ISBI Challenge 2017 - Skin Lesion Analysis Towards Melanoma Detection - Part I: Lesion Segmentation