Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review
Computerized image analysis methods for dermoscopy are primarily of great interest and
benefit, as it provides significant information about the lesion, which can be of pertinence for …
benefit, as it provides significant information about the lesion, which can be of pertinence for …
Computational methods for the image segmentation of pigmented skin lesions: a review
Background and objectives Because skin cancer affects millions of people worldwide,
computational methods for the segmentation of pigmented skin lesions in images have been …
computational methods for the segmentation of pigmented skin lesions in images have been …
Automatic skin lesion segmentation using deep fully convolutional networks with jaccard distance
Y Yuan, M Chao, YC Lo - IEEE transactions on medical …, 2017 - ieeexplore.ieee.org
Automatic skin lesion segmentation in dermoscopic images is a challenging task due to the
low contrast between lesion and the surrounding skin, the irregular and fuzzy lesion borders …
low contrast between lesion and the surrounding skin, the irregular and fuzzy lesion borders …
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 …
Dermoscopic image segmentation via multistage fully convolutional networks
Objective: Segmentation of skin lesions is an important step in the automated computer
aided diagnosis of melanoma. However, existing segmentation methods have a tendency to …
aided diagnosis of melanoma. However, existing segmentation methods have a tendency to …
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 …
Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering
Objective Melanoma is a dangerous form of the skin cancer responsible for thousands of
deaths every year. Early detection of melanoma is possible through visual inspection of …
deaths every year. Early detection of melanoma is possible through visual inspection of …
Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection
Automated skin lesion diagnosis from dermoscopic images is a difficult process due to
several notable problems such as artefacts (hairs), irregularity, lesion shape, and irrelevant …
several notable problems such as artefacts (hairs), irregularity, lesion shape, and irrelevant …
A novel transformer-based network with attention mechanism for automatic pavement crack detection
F Guo, J Liu, C Lv, H Yu - Construction and Building Materials, 2023 - Elsevier
Currently, there is an urgent need to utilize automatic approaches to detecting pavement
cracks for roadway maintenance. Taking advantage of the development of convolutional …
cracks for roadway maintenance. Taking advantage of the development of convolutional …
Computational methods for pigmented skin lesion classification in images: review and future trends
Skin cancer is considered as one of the most common types of cancer in several countries,
and its incidence rate has increased in recent years. Melanoma cases have caused an …
and its incidence rate has increased in recent years. Melanoma cases have caused an …