Results 181 to 190 of about 556 (209)

The NL-SC Net for Skin Lesion Segmentation

2021
The problem of skin lesion segmentation remains to be a challenging task due to the low contrast of lesions, occlusions and varied sizes of foreground. The existing methods are unable to perform well on complex scenarios. In this paper, an accurate skin lesion segmentation method with Res-SC block and Res-NL block is proposed, which successfully ...
Ziming Chen, Shengsheng Wang 0001
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Generative adversarial networks to segment skin lesions

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018
The accuracy of skin lesion segmentation has increased in recent years, thanks to advances in machine learning techniques and a large influx of dermoscopy images. However, there is still room for improvement as there exist many considerable challenges mainly due to the large variability in the appearance of lesions (i.e., shape, size, texture, and ...
Saeed Izadi, Zahra Mirikharaji, Jeremy Kawahara, Ghassan Hamarneh   +3 more
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Dense Deconvolutional Network for Skin Lesion Segmentation

IEEE Journal of Biomedical and Health Informatics, 2019
Automatic delineation of skin lesion contours from dermoscopy images is a basic step in the process of diagnosis and treatment of skin lesions. However, it is a challenging task due to the high variation of appearances and sizes of skin lesions. In order to deal with such challenges, we propose a new dense deconvolutional network (DDN) for skin lesion ...
Hang Li, Xinzi He, Feng Zhou 0003, Zhen Yu, Dong Ni 0001, Siping Chen, Tianfu Wang 0001, Baiying Lei   +7 more
openaire   +2 more sources

Skin Lesion Segmentation via Deep RefineNet

2017
Dermoscopy imaging has been a routine examination approach for skin lesion diagnosis. Accurate segmentation is the first step for automatic dermoscopy image assessment. The main challenges for skin lesion segmentation are numerous variations in viewpoint and scale of skin lesion region.
Xinzi He, Zhen Yu, Tianfu Wang 0001, Baiying Lei   +3 more
openaire   +1 more source

Ensemble Transductive Learning for Skin Lesion Segmentation

2019
Automated segmentation of skin lesions from dermoscopy images is helpful for the diagnosis and treatment of skin cancers. However, due to small annotated training set and the large visual difference in skins and lesions between subjects, the generalization performance of segmentation models are often limited.
Zhiying Cui, Longshi Wu, Ruixuan Wang, Wei-Shi Zheng 0001   +3 more
openaire   +1 more source

Macroscopic Skin Lesion Segmentation Using GrabCut

2020
Melanoma is one of the most dangerous forms of skin cancer with an apace increase in death rates each year. One major problem in Artificial Intelligence and Machine Learning is the issue of racial disparities. This leads to myriad problems in association with medical image analysis as the data fed to these algorithms are biased.
Verosha Pillay, Divyan Hirasen, Serestina Viriri, Mandlenkosi Victor Gwetu   +3 more
openaire   +1 more source

Unsupervised sub‐segmentation for pigmented skin lesions

Skin Research and Technology, 2011
Background: Early identification of malignant melanoma with the surgical removal of thin lesions is the most effective treatment for skin cancers. A computer‐aided diagnostic system assists to improve the diagnostic accuracy, where segmenting lesion from normal skin is usually considered as the first step.
Zhao, Liu, Jiuai, Sun, Melvyn, Smith, Lyndon, Smith, Robert, Warr   +4 more
openaire   +2 more sources

Efficient skin lesion segmentation with boundary distillation

Medical & Biological Engineering & Computing
Medical image segmentation models are commonly known for their complex structures, which often render them impractical for use on edge computing devices and compromising efficiency in the segmentation process. In light of this, the industry has proposed the adoption of knowledge distillation techniques.
Zaifang Zhang, Boyang Lu
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Color Segmentation for Skin Lesions Classification

2008 Cairo International Biomedical Engineering Conference, 2008
Differential diagnosis of Erythemato-Squamos diseases is considered a real problem in dermatology. They all share the clinical features of erythematic and scaling, with very little differences. This paper introduces an unsupervised color segmentation procedure applied to one disease of this group named Atopic Dermatitis.
N. A. Masood, H. M. Mashali, Abdalla S. A. Mohamed   +2 more
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Segmentation and grading of eczema skin lesions

2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS), 2014
In this paper Eczema skin lesions are segmented and graded using image processing and analysis. For preprocessing adaptive light compensation and gamma correction has been used. The effect of color space normalization has been studied for lesion segmentation. K-means algorithm is used for segmentation.
Yau Kwang Ch'ng, Humaira Nisar, Vooi Voon Yap, Kim Ho Yeap, Jyh Jong Tang   +4 more
openaire   +1 more source