Multi-features extraction based on deep learning for skin lesion classification
For various forms of skin lesion, many different feature extraction methods have been
investigated so far. Indeed, feature extraction is a crucial step in machine learning …
investigated so far. Indeed, feature extraction is a crucial step in machine learning …
A survey on deep learning for skin lesion segmentation
Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
CPFNet: Context pyramid fusion network for medical image segmentation
Accurate and automatic segmentation of medical images is a crucial step for clinical
diagnosis and analysis. The convolutional neural network (CNN) approaches based on the …
diagnosis and analysis. The convolutional neural network (CNN) approaches based on the …
Fast camouflaged object detection via edge-based reversible re-calibration network
Abstract Camouflaged Object Detection (COD) aims to detect objects with similar patterns
(eg, texture, intensity, colour, etc) to their surroundings, and recently has attracted growing …
(eg, texture, intensity, colour, etc) to their surroundings, and recently has attracted growing …
Modified U-net architecture for segmentation of skin lesion
Dermoscopy images can be classified more accurately if skin lesions or nodules are
segmented. Because of their fuzzy borders, irregular boundaries, inter-and intra-class …
segmented. Because of their fuzzy borders, irregular boundaries, inter-and intra-class …
Skin lesions classification into eight classes for ISIC 2019 using deep convolutional neural network and transfer learning
Melanoma is a type of skin cancer with a high mortality rate. The different types of skin
lesions result in an inaccurate diagnosis due to their high similarity. Accurate classification of …
lesions result in an inaccurate diagnosis due to their high similarity. Accurate classification of …
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 …
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 …
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 …