Deep learning ensemble methods for skin lesion analysis towards melanoma detection
Skin cancer has a significant impact across the world. Melanoma is a malignant form of skin
cancer. Skin lesion segmentation is an important step in computer-aided diagnosis (CAD) …
cancer. Skin lesion segmentation is an important step in computer-aided diagnosis (CAD) …
Skin lesion analysis towards melanoma detection using deep learning network
Skin lesions are a severe disease globally. Early detection of melanoma in dermoscopy
images significantly increases the survival rate. However, the accurate recognition of …
images significantly increases the survival rate. However, the accurate recognition of …
Skin lesion segmentation in dermoscopic images with ensemble deep learning methods
Early detection of skin cancer, particularly melanoma, is crucial to enable advanced
treatment. Due to the rapid growth in the number of skin cancers, there is a growing need of …
treatment. Due to the rapid growth in the number of skin cancers, there is a growing need of …
DSNet: Automatic dermoscopic skin lesion segmentation
Abstract Background and Objective: Automatic segmentation of skin lesions is considered a
crucial step in Computer-aided Diagnosis (CAD) systems for melanoma detection. Despite …
crucial step in Computer-aided Diagnosis (CAD) systems for melanoma detection. Despite …
Improving dermoscopic image segmentation with enhanced convolutional-deconvolutional networks
Y Yuan, YC Lo - IEEE journal of biomedical and health …, 2017 - ieeexplore.ieee.org
Automatic skin lesion segmentation on dermoscopic images is an essential step in computer-
aided diagnosis of melanoma. However, this task is challenging due to significant variations …
aided diagnosis of melanoma. However, this task is challenging due to significant variations …
Deep learning-based system for automatic melanoma detection
Melanoma is the deadliest form of skin cancer. Distinguishing melanoma lesions from non-
melanoma lesions has however been a challenging task. Many Computer Aided Diagnosis …
melanoma lesions has however been a challenging task. Many Computer Aided Diagnosis …
SLSDeep: Skin lesion segmentation based on dilated residual and pyramid pooling networks
Skin lesion segmentation (SLS) in dermoscopic images is a crucial task for automated
diagnosis of melanoma. In this paper, we present a robust deep learning SLS model …
diagnosis of melanoma. In this paper, we present a robust deep learning SLS model …
Deep convolutional encoder-decoders with aggregated multi-resolution skip connections for skin lesion segmentation
The prevalence of skin melanoma is rapidly increasing as well as the recorded death cases
of its patients. Automatic image segmentation tools play an important role in providing …
of its patients. Automatic image segmentation tools play an important role in providing …
Lesion segmentation and automated melanoma detection using deep convolutional neural networks and XGBoost
HN Pham, CY Koay, T Chakraborty… - … on System Science …, 2019 - ieeexplore.ieee.org
Melanoma is a lethal form of skin cancer. It is one of the leading causes of deaths related to
skin cancer. Most clinical studies show that early diagnosis of melanoma can improve …
skin cancer. Most clinical studies show that early diagnosis of melanoma can improve …
Spatially aware melanoma segmentation using hybrid deep learning techniques
In this paper, we proposed using a hybrid method that utilises deep convolutional and
recurrent neural networks for accurate delineation of skin lesion of images supplied with ISBI …
recurrent neural networks for accurate delineation of skin lesion of images supplied with ISBI …