Results 11 to 20 of about 556 (209)
SL-HarDNet: Skin lesion segmentation with HarDNet
Frontiers in Bioengineering and Biotechnology, 2023 Automatic segmentation of skin lesions from dermoscopy is of great significance for the early diagnosis of skin cancer. However, due to the complexity and fuzzy boundary of skin lesions, automatic segmentation of skin lesions is a challenging task.
Ruifeng Bai, Ruifeng Bai, Mingwei Zhou
doaj +3 more sources
Residual refinement for interactive skin lesion segmentation [PDF]
Journal of Biomedical Semantics, 2021 Background Image segmentation is a difficult and classic problem. It has a wide range of applications, one of which is skin lesion segmentation. Numerous researchers have made great efforts to tackle the problem, yet there is still no universal method in
Dalei Jiang +7 more
doaj +3 more sources
Generative adversarial networks based skin lesion segmentation
Scientific Reports, 2023 Skin cancer is a serious condition that requires accurate diagnosis and treatment. One way to assist clinicians in this task is using computer-aided diagnosis tools that automatically segment skin lesions from dermoscopic images.
Shubham Innani +7 more
doaj +4 more sources
Boundary-Aware Transformers for Skin Lesion Segmentation [PDF]
, 2021 Skin lesion segmentation from dermoscopy images is of great importance for improving the quantitative analysis of skin cancer. However, the automatic segmentation of melanoma is a very challenging task owing to the large variation of melanoma and ambiguous boundaries of lesion areas.
Jiacheng Wang 0002 +5 more
openaire +2 more sources
Skin Lesion Segmentation in Dermoscopy Imagery
The International Arab Journal of Information Technology, 2022 The main purpose of this study is to find an optimum method for segmentation of skin lesion images. In the present world, Skin cancer has proved to be the most deadly disease. The present research paper has developed a model which encompasses two gradations, the first being pre-processing for the reduction of unwanted artefacts like hair, illumination ...
Shelly Garg, Jindal Balkrishan
openaire +1 more source
Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review
Diagnostics, 2023 Skin lesions are essential for the early detection and management of a number of dermatological disorders. Learning-based methods for skin lesion analysis have drawn much attention lately because of improvements in computer vision and machine learning ...
Taye Girma Debelee
doaj +1 more source
Melanoma segmentation using deep learning with test-time augmentations and conditional random fields
Scientific Reports, 2022 In a computer-aided diagnostic (CAD) system for skin lesion segmentation, variations in shape and size of the skin lesion makes the segmentation task more challenging.
Hassan Ashraf +4 more
doaj +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
Automated seeding for ultrasound skin lesion segmentation
Ultrasonics, 2021 The segmentation of cancer-suspicious skin lesions using ultrasound may help their differential diagnosis and treatment planning. Active contour models (ACM) require an initial seed, which when manually chosen may cause variations in segmentation accuracy.
Péter, Marosán +5 more
openaire +2 more sources