Multi-scale fully convolutional DenseNets for automated skin lesion segmentation in dermoscopy images
This paper addresses the problem of automated skin lesion segmentation in dermoscopy
images. We propose a novel Multi-Scale Fully Convolutional DenseNets (MSFCDN) for skin …
images. We propose a novel Multi-Scale Fully Convolutional DenseNets (MSFCDN) for skin …
Global and local information based deep network for skin lesion segmentation
J Qi, M Le, C Li, P Zhou - arXiv preprint arXiv:1703.05467, 2017 - arxiv.org
With a large influx of dermoscopy images and a growing shortage of dermatologists,
automatic dermoscopic image analysis plays an essential role in skin cancer diagnosis. In …
automatic dermoscopic image analysis plays an essential role in skin cancer diagnosis. In …
Automatic skin lesion segmentation using deep fully convolutional networks with jaccard distance
Y Yuan, M Chao, YC Lo - IEEE transactions on medical …, 2017 - ieeexplore.ieee.org
Automatic skin lesion segmentation in dermoscopic images is a challenging task due to the
low contrast between lesion and the surrounding skin, the irregular and fuzzy lesion borders …
low contrast between lesion and the surrounding skin, the irregular and fuzzy lesion borders …
Improving dermoscopic image segmentation with enhanced convolutional-deconvolutional networks
Y Yuan, YC Lo - IEEE journal of biomedical and health …, 2017 - ieeexplore.ieee.org
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 variations …
aided diagnosis of melanoma. However, this task is challenging due to significant variations …
DSNet: Automatic dermoscopic skin lesion segmentation
Abstract Background and Objective: Automatic segmentation of skin lesions is considered a
crucial step in Computer-aided Diagnosis (CAD) systems for melanoma detection. Despite …
crucial step in Computer-aided Diagnosis (CAD) systems for melanoma detection. Despite …
SLSDeep: Skin lesion segmentation based on dilated residual and pyramid pooling networks
Skin lesion segmentation (SLS) in dermoscopic images is a crucial task for automated
diagnosis of melanoma. In this paper, we present a robust deep learning SLS model …
diagnosis of melanoma. In this paper, we present a robust deep learning SLS model …
Skin lesion segmentation based on modification of SegNet neural networks
Skin lesion segmentation plays an important role in automatic skin cancer diagnosis. One of
the most dangerous types of this cancer is melanoma which requires an early and accurate …
the most dangerous types of this cancer is melanoma which requires an early and accurate …
[PDF][PDF] Skin Lesion Segmentation Using Attention-Based DenseUNet.
A Jimi, H Abouche, N Zrira, I Benmiloud - Bioinformatics, 2023 - pdfs.semanticscholar.org
Skin lesion segmentation in dermoscopic images is still a challenging problem due to the
blurry borders and low contrast of the lesions. Deep learning networks, like U-Net, have …
blurry borders and low contrast of the lesions. Deep learning networks, like U-Net, have …
Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks
Background and objective Automatic segmentation of skin lesions in dermoscopy images is
still a challenging task due to the large shape variations and indistinct boundaries of the …
still a challenging task due to the large shape variations and indistinct boundaries of the …
Automatic skin lesion segmentation based on FC-DPN
Automatic skin lesion segmentation in dermoscopy images is challenging due to the
diversity of skin lesion characteristics, low contrast between normal skin and lesions, and the …
diversity of skin lesion characteristics, low contrast between normal skin and lesions, and the …