Results 31 to 40 of about 1,461,442 (277)
Skin lesion segmentation using two-phase cross-domain transfer learning framework
, 2023 Background and Objective Deep learning (DL) models have been used for medical imaging for a long time but they did not achieve their full potential in the past because of insufficient computing power and scarcity of training data.
Karri, Meghana +2 more
core +1 more source
Independent Histogram Pursuit for Segmentation of Skin Lesions [PDF]
IEEE Transactions on Biomedical Engineering, 2008 In this paper, an unsupervised algorithm, called the Independent Histogram Pursuit (IHP), for segmenting dermatological lesions is proposed. The algorithm estimates a set of linear combinations of image bands that enhance different structures embedded in the image.
David Delgado-Gómez +3 more
openaire +2 more sources
Applied Sciences, 2023 Aiming at the low contrast of skin lesion image and inaccurate segmentation of lesion boundary, a skin lesion segmentation method based on multi-level split receptive field and attention is proposed. Firstly, the depth feature extraction module and multi-
Guoliang Yang +4 more
doaj +1 more source
SLSNet: skin lesion segmentation using a lightweight generative adversarial network. [PDF]
, 2021 The determination of precise skin lesion boundaries in dermoscopic images using automated methods faces many challenges, most importantly, the presence of hair, inconspicuous lesion edges and low contrast in dermoscopic images, and variability in the ...
Chambon, Sylvie +12 more
core +2 more sources
Skin Lesion Segmentation Using Recurrent Attentional Convolutional Networks
IEEE Access, 2022 Accurate segmentation of lesion region from skin lesion images can provide guidance for medical experts to make an early diagnosis of skin cancer. In this study, we construct Recurrent Attentional Convolutional Networks (O-Net), which exploits the skin ...
Peng Chen, Sa Huang, Qing Yue
doaj +1 more source
Automatic skin segmentation for gesture recognition combining region and support vector machine active learning [PDF]
, 2006 Skin segmentation is the cornerstone of many applications such as gesture recognition, face detection, and objectionable image filtering. In this paper, we attempt to address the skin segmentation problem for gesture recognition.
A. Sutherland +7 more
core +2 more sources
Analysis of the contour structural irregularity of skin lesions using wavelet decomposition [PDF]
, 2013 The boundary irregularity of skin lesions is of clinical significance for the early detection of malignant melanomas and to distinguish them from other lesions such as benign moles. The structural components of the contour are of particular importance.
Ma, Li, Staunton, Richard C.
core +1 more source
International Journal of Interactive Multimedia and Artificial Intelligence, 2020 Purpose – Pre-screening of skin lesion for malignancy is highly demanded as melanoma being a life-threatening skin cancer due to unpaired DNA damage. In this paper, lesion segmentation based on Fuzzy C-Means clustering using non-dermoscopic images has ...
Salam Shuleenda Devi +2 more
doaj +1 more source
Bayesian model selection for pathological neuroimaging data applied to white matter lesion segmentation. [PDF]
, 2015 In neuroimaging studies, pathologies can present themselves as abnormal intensity patterns. Thus, solutions for detecting abnormal intensities are currently under investigation.
Willem H. Bouvy +19 more
core +2 more sources
Depth Data Improves Skin Lesion Segmentation [PDF]
, 2009 This paper shows that adding 3D depth information to RGB colour images improves segmentation of pigmented and non-pigmented skin lesion. A region-based active contour segmentation approach using a statistical model based on the level-set framework is presented. We consider what kinds of properties (e.g., colour, depth, texture) are most discriminative.
Li, Xiang +4 more
openaire +4 more sources