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 …
Dermoscopic image segmentation via multistage fully convolutional networks
Objective: Segmentation of skin lesions is an important step in the automated computer
aided diagnosis of melanoma. However, existing segmentation methods have a tendency to …
aided diagnosis of melanoma. However, existing segmentation methods have a tendency to …
Skin lesion segmentation using deep learning with auxiliary task
Skin lesion segmentation is a primary step for skin lesion analysis, which can benefit the
subsequent classification task. It is a challenging task since the boundaries of pigment …
subsequent classification task. It is a challenging task since the boundaries of pigment …
Skin lesion segmentation using high-resolution convolutional neural network
F Xie, J Yang, J Liu, Z Jiang, Y Zheng… - Computer methods and …, 2020 - Elsevier
Abstract Background and Objective Skin lesion segmentation is an important but
challenging task in computer-aided diagnosis of dermoscopy images. Many segmentation …
challenging task in computer-aided diagnosis of dermoscopy images. Many segmentation …
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 …
Step-wise integration of deep class-specific learning for dermoscopic image segmentation
The segmentation of abnormal regions on dermoscopic images is an important step for
automated computer aided diagnosis (CAD) of skin lesions. Recent methods based on fully …
automated computer aided diagnosis (CAD) of skin lesions. Recent methods based on fully …
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 …
Skin lesion segmentation in dermoscopic images with combination of YOLO and grabcut algorithm
Skin lesion segmentation has a critical role in the early and accurate diagnosis of skin
cancer by computerized systems. However, automatic segmentation of skin lesions in …
cancer by computerized systems. However, automatic segmentation of skin lesions in …
Dense pooling layers in fully convolutional network for skin lesion segmentation
One of the essential tasks in medical image analysis is segmentation and accurate detection
of borders. Lesion segmentation in skin images is an essential step in the computerized …
of borders. Lesion segmentation in skin images is an essential step in the computerized …