[HTML][HTML] Dermoscopic skin lesion image segmentation based on Local Binary Pattern Clustering: Comparative study
Accurate skin lesion segmentation is important for identification and classification through
computational methods. However, when performed by dermatologists, the results of clinical …
computational methods. However, when performed by dermatologists, the results of clinical …
Active contours based segmentation and lesion periphery analysis for characterization of skin lesions in dermoscopy images
This paper proposes a computer assisted diagnostic system for the detection of melanoma
in dermoscopy images. Clinical findings have concluded that in case of melanoma, the …
in dermoscopy images. Clinical findings have concluded that in case of melanoma, the …
Automatic segmentation of dermoscopic images by iterative classification
M Zortea, SO Skrøvseth, TR Schopf… - … journal of biomedical …, 2011 - Wiley Online Library
Accurate detection of the borders of skin lesions is a vital first step for computer aided
diagnostic systems. This paper presents a novel automatic approach to segmentation of skin …
diagnostic systems. This paper presents a novel automatic approach to segmentation of skin …
Unsupervised skin lesions border detection via two-dimensional image analysis
The skin cancer was analyzed by dermoscopy helpful for dermatologists. The classification
of melanoma and carcinoma such as basal cell, squamous cell, and merkel cell carcinomas …
of melanoma and carcinoma such as basal cell, squamous cell, and merkel cell carcinomas …
Skin lesion segmentation in dermoscopic images with noisy data
N Lama, J Hagerty, A Nambisan, RJ Stanley… - Journal of Digital …, 2023 - Springer
We propose a deep learning approach to segment the skin lesion in dermoscopic images.
The proposed network architecture uses a pretrained EfficientNet model in the encoder and …
The proposed network architecture uses a pretrained EfficientNet model in the encoder and …
Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images
Background Computer-aided segmentation and border detection in dermoscopic images is
one of the core components of diagnostic procedures and therapeutic interventions for skin …
one of the core components of diagnostic procedures and therapeutic interventions for skin …
An improved segmentation approach for skin lesion classification
Skin cancer is one of the most common types of cancer, its incidence reached epidemic
proportions and caused many deaths. Skin cancer can be categorize into three main types; …
proportions and caused many deaths. Skin cancer can be categorize into three main types; …
[PDF][PDF] Automatic segmentation of dermoscopy images using histogram thresholding on optimal color channels
Automatic segmentation of skin lesions is the first step towards development of a computer-
aided diagnosis of melanoma. Although numerous segmentation methods have been …
aided diagnosis of melanoma. Although numerous segmentation methods have been …
Comparison of segmentation methods for melanoma diagnosis in dermoscopy images
In this paper, we propose and evaluate six methods for the segmentation of skin lesions in
dermoscopic images. This set includes some state of the art techniques which have been …
dermoscopic images. This set includes some state of the art techniques which have been …
Modified watershed technique and post-processing for segmentation of skin lesions in dermoscopy images
H Wang, RH Moss, X Chen, RJ Stanley… - … Medical Imaging and …, 2011 - Elsevier
In previous research, a watershed-based algorithm was shown to be useful for automatic
lesion segmentation in dermoscopy images, and was tested on a set of 100 benign and …
lesion segmentation in dermoscopy images, and was tested on a set of 100 benign and …