AIMC Topic: Skin Neoplasms

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Explainable artificial intelligence in skin cancer recognition: A systematic review.

European journal of cancer (Oxford, England : 1990) Apr 5, 2022
BACKGROUND: Due to their ability to solve complex problems, deep neural networks (DNNs) are becoming increasingly popular in medical applications. However, decision-making by such algorithms is essentially a black-box process that renders it difficul...
Humans Algorithms Neural Networks, Computer Skin Neoplasms Artificial Intelligence
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Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification.

IEEE/ACM transactions on computational biology and bioinformatics Apr 1, 2022
Many modern neural network architectures with over parameterized regime have been used for identification of skin cancer. Recent work showed that network, where the hidden units are polynomially smaller in size, showed better performance than overpar...
Skin Neoplasms Humans Neural Networks, Computer
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A novel approach for skin lesion symmetry classification with a deep learning model.

Computers in biology and medicine Mar 28, 2022
Skin cancer has become a public health problem due to its increasing incidence. However, the malignancy risk of the lesions can be reduced if diagnosed at an early stage. To do so, it is essential to identify particular characteristics such as the sy...
Skin Diseases Neural Networks, Computer Skin Neoplasms Dermoscopy Deep Learning Humans
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Efficacy of a Deep Learning Convolutional Neural Network System for Melanoma Diagnosis in a Hospital Population.

International journal of environmental research and public health Mar 24, 2022
(1) Background: The purpose of this study was to evaluate the efficacy in terms of sensitivity, specificity, and accuracy of the quantusSKIN system, a new clinical tool based on deep learning, to distinguish between benign skin lesions and melanoma i...
Nevus Deep Learning Skin Diseases Melanoma Skin Neoplasms Dermoscopy Hospitals Neural Networks, Computer Retrospective Studies Humans
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Deep Learning-Based Classification for Melanoma Detection Using XceptionNet.

Journal of healthcare engineering Mar 22, 2022
Skin cancer is one of the most common types of cancer in the world, accounting for at least 40% of all cancers. Melanoma is considered as the 19th most commonly occurring cancer among the other cancers in the human society, such that about 300,000 ne...
Dermoscopy Melanoma Deep Learning Image Processing, Computer-Assisted Humans Skin Neoplasms
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Melanoma segmentation using deep learning with test-time augmentations and conditional random fields.

Scientific reports Mar 10, 2022
In a computer-aided diagnostic (CAD) system for skin lesion segmentation, variations in shape and size of the skin lesion makes the segmentation task more challenging. Lesion segmentation is an initial step in CAD schemes as it leads to low error rat...
Neural Networks, Computer Melanoma Humans Deep Learning Skin Diseases Skin Neoplasms Dermoscopy
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Uncertainty-aware skin cancer detection: The element of doubt.

Computers in biology and medicine Mar 2, 2022
Artificial intelligence (AI)-based medical diagnosis has received huge attention due to its potential to improve and accelerate the decision-making process at the patient level in a range of healthcare settings. Despite the recent signs of progress i...
Skin Neoplasms Bayes Theorem Monte Carlo Method Humans Artificial Intelligence Uncertainty Neural Networks, Computer Algorithms
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Evaluation of Artificial Intelligence-Assisted Diagnosis of Skin Neoplasms: A Single-Center, Paralleled, Unmasked, Randomized Controlled Trial.

The Journal of investigative dermatology Feb 18, 2022
TRIAL DESIGN: This was a single-center, unmasked, paralleled, randomized controlled trial.
Neural Networks, Computer Artificial Intelligence Humans Algorithms Skin Neoplasms Diagnosis, Differential
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Deep Learning Algorithms for Predicting Breslow Thickness from Dermoscopic Images of Acral Lentiginous Melanomas.

The Journal of investigative dermatology Jan 12, 2022
Melanoma, Cutaneous Malignant Skin Neoplasms Deep Learning Retrospective Studies Melanoma Humans
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New Trends in Melanoma Detection Using Neural Networks: A Systematic Review.

Sensors (Basel, Switzerland) Jan 10, 2022
Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health disease today. The high mortality rate associated with melanoma makes it necessary to detect the early stages to be treated urgently and properly. This is the ...
Melanoma Skin Neoplasms Neural Networks, Computer Artificial Intelligence Humans Deep Learning
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