[HTML][HTML] Preprocessing effects on performance of skin lesion saliency segmentation
S Joseph, OO Olugbara - Diagnostics, 2022 - mdpi.com
Despite the recent advances in immune therapies, melanoma remains one of the deadliest
and most difficult skin cancers to treat. Literature reports that multifarious driver oncogenes …
and most difficult skin cancers to treat. Literature reports that multifarious driver oncogenes …
Saliency-based lesion segmentation via background detection in dermoscopic images
The segmentation of skin lesions in dermoscopic images is a fundamental step in automated
computer-aided diagnosis of melanoma. Conventional segmentation methods, however …
computer-aided diagnosis of melanoma. Conventional segmentation methods, however …
Saliency-based segmentation of dermoscopic images using colour information
G Ramella - Computer Methods in Biomechanics and Biomedical …, 2022 - Taylor & Francis
Skin lesion segmentation is one of the crucial steps for an efficient non-invasive computer-
aided early diagnosis of melanoma. This paper investigates how to use colour information …
aided early diagnosis of melanoma. This paper investigates how to use colour information …
Supervised saliency map driven segmentation of lesions in dermoscopic images
Lesion segmentation is the first step in most automatic melanoma recognition systems.
Deficiencies and difficulties in dermoscopic images such as color inconstancy, hair …
Deficiencies and difficulties in dermoscopic images such as color inconstancy, hair …
Automated saliency-based lesion segmentation in dermoscopic images
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 …
important steps in computer-aided diagnosis (CAD) for automated melanoma diagnosis …
Automatic segmentation of dermoscopy images using saliency combined with adaptive thresholding based on wavelet transform
K Hu, S Liu, Y Zhang, C Cao, F Xiao, W Huang… - Multimedia Tools and …, 2020 - Springer
Segmentation is the essential requirement in automated computer-aided diagnosis (CAD) of
skin diseases. In this paper, we propose an unsupervised skin lesion segmentation method …
skin diseases. In this paper, we propose an unsupervised skin lesion segmentation method …
Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features
The number of deaths caused by melanoma has increased remarkably in the last few years
which are the carcinogenic type of skin cancer. Lately, computer based methods are …
which are the carcinogenic type of skin cancer. Lately, computer based methods are …
Automatic segmentation of dermoscopy images using saliency combined with Otsu threshold
H Fan, F Xie, Y Li, Z Jiang, J Liu - Computers in biology and medicine, 2017 - Elsevier
Segmentation is one of the crucial steps for the computer-aided diagnosis (CAD) of skin
cancer with dermoscopy images. To accurately extract lesion borders from dermoscopy …
cancer with dermoscopy images. To accurately extract lesion borders from dermoscopy …
[HTML][HTML] Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images
Background Melanoma is the most dangerous and aggressive form among skin cancers,
exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are …
exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are …
Saliency-CCE: exploiting colour contextual extractor and saliency-based biomedical image segmentation
Biomedical image segmentation is one critical component in computer-aided system
diagnosis. However, various non-automatic segmentation methods are usually designed to …
diagnosis. However, various non-automatic segmentation methods are usually designed to …