Semantic Scholarhttps://www.semanticscholar.org/paper/Automatic-skin-lesion-segmentation-on-d…Automatic skin lesion segmentation on dermoscopic images …2018年8月21日 · The presented method is capable of dealing with segmentation problems commonly found in dermoscopic images such as hair removal, oil bubbles, changes in illumination, and reflections images without any additional steps. We present a superpixel-based strategy for segmenting skin lesion on dermoscopic images. The segmentation is carried out …
ResearchGatehttps://www.researchgate.net/publication/299488989_Automated_saliency-based…Automated saliency-based lesion segmentation in dermoscopic images2015年8月1日 · The segmentation of skin lesions in dermoscopic images is considered as one of the most important steps in computer-aided diagnosis (CAD) for automated melanoma diagnosis.
Semantic Scholarhttps://www.semanticscholar.org/paper/Automated-skin-lesion-segmentation-usin…Automated skin lesion segmentation using K-Means …A skin lesion segmentation method using clustering technique that is competent enough to sufficiently reject the noisy pixels from the finally segmented image and can be used for some real time application is proposed. Melanoma can prove fatal if not diagnosed at early stage. The accuracy of identification of skin cancer from dermoscopic images is directly proportional to the …
dipaco.github.iohttps://dipaco.github.io/assets/pdf/papers/Patino2018_skin_superpixels.pdf[PDF]Automatic Skin Lesion Segmentation on Dermoscopic …2024年6月24日 · 3 Skin Lesion Segmentation In this section, we describe our method for skin lesion segmentation on der-moscopic images. First, we use SLIC algorithm to obtain an over-segmentation of the original dermoscopic image (I). Later, a binary search is performed to find the best threshold to greedily merges all the superpixels into two regions:
Naturehttps://www.nature.com/articles/s41598-024-71080-4A Modified Deep Semantic Segmentation Model for Analysis …2024年10月8日 · Whereas automated methods face many other challenges like presence of hair, inconspicuous lesion margins, low contrast on dermoscopic images, and variability in skin lesion color, texture, and ...
Naturehttps://www.nature.com/articles/s41598-023-39648-8Generative adversarial networks based skin lesion segmentation2023年8月18日 · However, automated skin lesion segmentation is challenging due to several factors 7 such as (1) large variance in shape, texture, color, geographical conditions, and fuzzy boundaries, (2) the ...
ResearchGatehttps://www.researchgate.net/publication/327153355_Automatic_skin_lesion_seg…Automatic skin lesion segmentation on dermoscopic images …2018年8月21日 · Image segmentation is a key step in the automated skin lesion diagnosis pipeline. In this paper, a fast and fully-automatic algorithm for skin lesion segmentation in dermoscopic images is presented.