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 …
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 …
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 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 …
[HTML][HTML] Skin cancer detection: Applying a deep learning based model driven architecture in the cloud for classifying dermal cell images
MA Kadampur, S Al Riyaee - Informatics in Medicine Unlocked, 2020 - Elsevier
Background Skin cancer is a common form of cancer, and early detection increases the
survival rate. Objective To build deep learning models to classify dermal cell images and …
survival rate. Objective To build deep learning models to classify dermal cell images and …
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 …
Double AMIS-ensemble deep learning for skin cancer classification
This study aims to create a precise skin cancer classification system (SC-CS) able to
distinguish various skin cancer types. Targeted categories include melanoma, vascular …
distinguish various skin cancer types. Targeted categories include melanoma, vascular …
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 …
Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging
Background and objective Efficient segmentation of skin lesion in dermoscopy images can
improve the classification accuracy of skin diseases, which provides a powerful approach for …
improve the classification accuracy of skin diseases, which provides a powerful approach for …