AIMC Topic: Skin Neoplasms

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A deep learning approach to detect blood vessels in basal cell carcinoma.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) May 25, 2022
PURPOSE: Blood vessels called telangiectasia are visible in skin lesions with the aid of dermoscopy. Telangiectasia are a pivotal identifying feature of basal cell carcinoma. These vessels appear thready, serpiginous, and may also appear arborizing, ...
Skin Neoplasms Carcinoma, Basal Cell Humans Skin Diseases Dermoscopy Telangiectasis Deep Learning
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An Effective Skin Cancer Classification Mechanism via Medical Vision Transformer.

Sensors (Basel, Switzerland) May 25, 2022
Skin Cancer (SC) is considered the deadliest disease in the world, killing thousands of people every year. Early SC detection can increase the survival rate for patients up to 70%, hence it is highly recommended that regular head-to-toe skin examinat...
Early Detection of Cancer Machine Learning Skin Neoplasms Humans Neural Networks, Computer
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Computer-aided detection and segmentation of malignant melanoma lesions on whole-body F-FDG PET/CT using an interpretable deep learning approach.

Computer methods and programs in biomedicine May 22, 2022
BACKGROUND AND OBJECTIVE: In oncology, 18-fluorodeoxyglucose (F-FDG) positron emission tomography (PET) / computed tomography (CT) is widely used to identify and analyse metabolically-active tumours. The combination of the high sensitivity and specif...
Melanoma, Cutaneous Malignant Positron-Emission Tomography Positron Emission Tomography Computed Tomography Radiopharmaceuticals Fluorodeoxyglucose F18 Computers Melanoma Skin Neoplasms Deep Learning Humans
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Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine.

Journal of digital imaging May 6, 2022
The skin is the main organ. It is approximately 8 pounds for the average adult. Our skin is a truly wonderful organ. It isolates us and shields our bodies from hazards. However, the skin is also vulnerable to damage and distracted from its original a...
Support Vector Machine Skin Humans Algorithms Skin Neoplasms Adult
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Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification.

IEEE transactions on medical imaging May 2, 2022
Deep convolutional neural network (DCNN) models have been widely explored for skin disease diagnosis and some of them have achieved the diagnostic outcomes comparable or even superior to those of dermatologists. However, broad implementation of DCNN ...
Humans Neural Networks, Computer Skin Skin Diseases Skin Neoplasms Deep Learning
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A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification.

Journal of healthcare engineering Apr 18, 2022
Skin cancer is one of the most common diseases that can be initially detected by visual observation and further with the help of dermoscopic analysis and other tests. As at an initial stage, visual observation gives the opportunity of utilizing artif...
Deep Learning Skin Neoplasms Humans Skin Diseases Dermoscopy Artificial Intelligence
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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...
Algorithms Skin Neoplasms Neural Networks, Computer Artificial Intelligence Humans
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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...
Humans Neural Networks, Computer Skin Neoplasms
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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...
Deep Learning Skin Diseases Skin Neoplasms Dermoscopy Humans Neural Networks, Computer
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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...
Skin Neoplasms Dermoscopy Retrospective Studies Humans Melanoma Hospitals Skin Diseases Neural Networks, Computer Deep Learning Nevus
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