AIMC Topic: Skin Neoplasms
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Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts.
European journal of cancer (Oxford, England : 1990)
Sep 8, 2021
BACKGROUND: Multiple studies have compared the performance of artificial intelligence (AI)-based models for automated skin cancer classification to human experts, thus setting the cornerstone for a successful translation of AI-based tools into clinic...
Bridging the digital divide among advanced age skin cancer patients.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Sep 4, 2021
An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification.
IEEE journal of biomedical and health informatics
Sep 3, 2021
Computer-aided skin cancer classification systems built with deep neural networks usually yield predictions based only on images of skin lesions. Despite presenting promising results, it is possible to achieve higher performance by taking into accoun...
AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function.
Scientific reports
Sep 1, 2021
Melanoma, one of the most dangerous types of skin cancer, results in a very high mortality rate. Early detection and resection are two key points for a successful cure. Recent researches have used artificial intelligence to classify melanoma and nevu...
Skin cancer detection from dermoscopic images using deep learning and fuzzy k-means clustering.
Microscopy research and technique
Aug 27, 2021
Melanoma skin cancer is the most life-threatening and fatal disease among the family of skin cancer diseases. Modern technological developments and research methodologies made it possible to detect and identify this kind of skin cancer more effective...
Discriminative deep learning based benignity/malignancy diagnosis of dermatologic ultrasound skin lesions with pretrained artificial intelligence architecture.
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)
Aug 22, 2021
BACKGROUND: Deep-learning algorithms (DLAs) have been used in artificial intelligence aided ultrasonography diagnosis of thyroid and breast lesions. However, its use has not been described in the case of dermatologic ultrasound lesions. Our purpose w...
Legal and ethical considerations of artificial intelligence in skin cancer diagnosis.
The Australasian journal of dermatology
Aug 18, 2021
Artificial intelligence (AI) technology is becoming increasingly accurate and prevalent for the diagnosis of skin cancers. Commercially available AI diagnostic software is entering markets across the world posing new legal and ethical challenges for ...
A benchmark for neural network robustness in skin cancer classification.
European journal of cancer (Oxford, England : 1990)
Aug 11, 2021
BACKGROUND: One prominent application for deep learning-based classifiers is skin cancer classification on dermoscopic images. However, classifier evaluation is often limited to holdout data which can mask common shortcomings such as susceptibility t...
Image quality issues in teledermatology: A comparative analysis of artificial intelligence solutions.
Journal of the American Academy of Dermatology
Aug 10, 2021
Classification of large-scale image database of various skin diseases using deep learning.
International journal of computer assisted radiology and surgery
Jul 26, 2021
PURPOSE: The purpose of this study was to develop a deep learning-based computer-aided diagnosis system for skin disease classification using photographic images of patients. The targets are 59 skin diseases, including localized and diffuse diseases ...
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