A novel fusion approach for segmenting dermoscopy image based on region consistency
Q Wen, D Ming, J Chen - 2013 International Conference on …, 2013 - ieeexplore.ieee.org
Malignant melanoma is among the most rapidly increasing cancers in the world. Image
border detection is often the first step to characterize skin lesion for the follow-up computer …
border detection is often the first step to characterize skin lesion for the follow-up computer …
A superpixel based post-processing approach for segmenting dermoscopy images
Q Wen, D Ming, J Chen, W Liu - 2013 Sixth International …, 2013 - ieeexplore.ieee.org
Malignant melanoma is among the most rapidly increasing cancers in the world. Image
border detection is often the first step to characterize skin lesion for the follow-up computer …
border detection is often the first step to characterize skin lesion for the follow-up computer …
Lesion border detection in dermoscopy images using bilateral filter
AAA Al-abayechi, R Logeswaran… - … conference on signal …, 2013 - ieeexplore.ieee.org
This paper proposes an efficient way to effectively segment malignant melanoma in color
dermoscopy images. A combination of methods are used in the proposed technique …
dermoscopy images. A combination of methods are used in the proposed technique …
A generalized fusion approach for segmenting dermoscopy images using Markov random field
D Ming, Q Wen, J Chen, W Liu - 2013 6th International …, 2013 - ieeexplore.ieee.org
Malignant melanoma is among the most rapidly increasing cancers in the world. Image
border detection is often the first step to characterize skin lesion for the follow-up computer …
border detection is often the first step to characterize skin lesion for the follow-up computer …
Automatic multiple regions segmentation of dermoscopy images
Skin lesion segmentation is one of the most important steps in automated early skin cancer
detection, since the accuracy of the following steps significantly depends on it. In this paper …
detection, since the accuracy of the following steps significantly depends on it. In this paper …
Automated lesion border detection of dermoscopy images using spectral clustering
Skin lesion segmentation is one of the most important steps for automated early skin cancer
detection since the accuracy of the following steps significantly depends on it. In this paper …
detection since the accuracy of the following steps significantly depends on it. In this paper …
Automated segmentation of regions of interest in whole slide skin histopathological images
In the diagnosis of skin melanoma by analyzing histopathological images, the epidermis and
epidermis-dermis junctional areas are regions of interest as they provide the most important …
epidermis-dermis junctional areas are regions of interest as they provide the most important …
Spatially constrained segmentation of dermoscopy images
Dermoscopy is a technique used to better visualize pigmented skin lesion and aid the
clinician in determining if a lesion is benign or malignant. Automated segmentation of …
clinician in determining if a lesion is benign or malignant. Automated segmentation of …
Fast and accurate border detection in dermoscopy images using statistical region merging
As a result of advances in skin imaging technology and the development of suitable image
processing techniques during the last decade, there has been a significant increase of …
processing techniques during the last decade, there has been a significant increase of …
Colour and contrast enhancement for improved skin lesion segmentation
Accurate extraction of lesion borders is a critical step in analysing dermoscopic skin lesion
images. In this paper, we consider the problems of poor contrast and lack of colour …
images. In this paper, we consider the problems of poor contrast and lack of colour …