… network to distinguish melanoma from non-melanoma … the accuracy of automatic melanoma
detection methods. Different … design of deep learning networks in related medical research. …

… is that the melanoma detection task is structured as a point object detection task, where the
… Skin lesion analysis towards melanoma detection using deep learning network." Sensors 18…

… , deep neural networks are used to distinguish between melanoma and non-melanoma
images. In this paper, we have underlined two essential points of melanoma detection research. …

… of deep learning methods to form an automatic diagnosis system for melanoma detection.
For … Afterward, the images are fed to a CNN architecture to classify the input as melanoma or …

… , this is the first comparative study on deep learning algorithms for melanoma detection. … we
aim to boost accuracy using deep learning-based ensemble models for melanoma detection. …

… This paper presents a comparative study for skin lesion segmentation and melanoma
detection. It is shown that deep learning methods can perform very well without complex pre-…

… In this paper, we propose an effective method for image recognition of melanoma, which is
… diagnosis of melanoma. In the future, we will utilize more complex network structures and …

… We propose a system for melanoma detection based on three stages: the image preprocessing,
… Shen, ‘‘Skin lesion analysis towards melanoma detection using deep learning network,’’ …

… network architecture, based on decision fusion. The most representative articles covering
the area of melanoma detection based on neural networks, … networks to detect melanomas. …

… a melanoma network and applied a deep learning model to identify subgroups in the TCGA
melanoma … The model utilizes communities identified in the melanoma network to effectively …