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 …
Computer aided diagnostic support system for skin cancer: a review of techniques and algorithms
A Masood, AA Al-Jumaily - International journal of biomedical …, 2013 - Wiley Online Library
Image‐based computer aided diagnosis systems have significant potential for screening
and early detection of malignant melanoma. We review the state of the art in these systems …
and early detection of malignant melanoma. We review the state of the art in these systems …
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
Abstract Analysis of skin lesion images via visual inspection and manual examination to
diagnose skin cancer has always been cumbersome. This manual examination of skin …
diagnose skin cancer has always been cumbersome. This manual examination of skin …
Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks
Background and objective Automatic segmentation of skin lesions in dermoscopy images is
still a challenging task due to the large shape variations and indistinct boundaries of the …
still a challenging task due to the large shape variations and indistinct boundaries of the …
[HTML][HTML] Skin lesion segmentation in dermoscopic images with combination of YOLO and grabcut algorithm
Skin lesion segmentation has a critical role in the early and accurate diagnosis of skin
cancer by computerized systems. However, automatic segmentation of skin lesions in …
cancer by computerized systems. However, automatic segmentation of skin lesions in …
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 …
Computational methods for the image segmentation of pigmented skin lesions: a review
RB Oliveira, E Mercedes Filho, Z Ma, JP Papa… - Computer methods and …, 2016 - Elsevier
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 …
Computational methods for pigmented skin lesion classification in images: review and future trends
RB Oliveira, JP Papa, AS Pereira… - Neural Computing and …, 2018 - Springer
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 …
Skin lesion segmentation with improved convolutional neural network
Recently, the incidence of skin cancer has increased considerably and is seriously
threatening human health. Automatic detection of this disease, where early detection is …
threatening human health. Automatic detection of this disease, where early detection is …
An overview of melanoma detection in dermoscopy images using image processing and machine learning
The incidence of malignant melanoma continues to increase worldwide. This cancer can
strike at any age; it is one of the leading causes of loss of life in young persons. Since this …
strike at any age; it is one of the leading causes of loss of life in young persons. Since this …