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 …
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 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 …
Fusing fine-tuned deep features for skin lesion classification
Malignant melanoma is one of the most aggressive forms of skin cancer. Early detection is
important as it significantly improves survival rates. Consequently, accurate discrimination of …
important as it significantly improves survival rates. Consequently, accurate discrimination of …
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images
Accurate skin lesion diagnosis requires a great effort from experts to identify the
characteristics from clinical and dermoscopic images. Deep multimodal learning-based …
characteristics from clinical and dermoscopic images. Deep multimodal learning-based …
Dermoscopy image analysis: overview and future directions
Dermoscopy is a non-invasive skin imaging technique that permits visualization of features
of pigmented melanocytic neoplasms that are not discernable by examination with the …
of pigmented melanocytic neoplasms that are not discernable by examination with the …
Computerized analysis of pigmented skin lesions: a review
K Korotkov, R Garcia - Artificial intelligence in medicine, 2012 - Elsevier
OBJECTIVE: Computerized analysis of pigmented skin lesions (PSLs) is an active area of
research that dates back over 25years. One of its main goals is to develop reliable automatic …
research that dates back over 25years. One of its main goals is to develop reliable automatic …