Skin lesion analysis towards melanoma detection using deep learning network
… network to distinguish melanoma from non-melanoma … the accuracy of automatic melanoma
detection methods. Different … design of deep learning networks in related medical research. …
detection methods. Different … design of deep learning networks in related medical research. …
Deep learning-based system for automatic melanoma detection
… 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…
… Skin lesion analysis towards melanoma detection using deep learning network." Sensors 18…
A cloud approach for melanoma detection based on deep learning networks
… , 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. …
images. In this paper, we have underlined two essential points of melanoma detection research. …
Melanoma detection by analysis of clinical images using convolutional neural network
… 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 …
For … Afterward, the images are fed to a CNN architecture to classify the input as melanoma or …
A comparative study of deep learning architectures on melanoma detection
SH Kassani, PH Kassani - Tissue and Cell, 2019 - Elsevier
… , 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. …
aim to boost accuracy using deep learning-based ensemble models for melanoma detection. …
A comparative study of neural network architectures for lesion segmentation and 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-…
detection. It is shown that deep learning methods can perform very well without complex pre-…
Melanomanet: An effective network for melanoma detection
R Huang, J Liang, F Jiang, F Zhou… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
… 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 …
… diagnosis of melanoma. In the future, we will utilize more complex network structures and …
Melanoma detection using an objective system based on multiple connected neural networks
L Ichim, D Popescu - IEEE Access, 2020 - ieeexplore.ieee.org
… 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,’’ …
… Shen, ‘‘Skin lesion analysis towards melanoma detection using deep learning network,’’ …
New trends in melanoma detection using neural networks: a systematic review
D Popescu, M El-Khatib, H El-Khatib, L Ichim - Sensors, 2022 - mdpi.com
… network architecture, based on decision fusion. The most representative articles covering
the area of melanoma detection based on neural networks, … networks to detect melanomas. …
the area of melanoma detection based on neural networks, … networks to detect melanomas. …
A disease network‐based deep learning approach for characterizing melanoma
X Lai, J Zhou, A Wessely, M Heppt… - … journal of cancer, 2022 - Wiley Online Library
… 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 …
melanoma … The model utilizes communities identified in the melanoma network to effectively …
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