AIMC Topic: Melanoma

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Clinically Relevant Vulnerabilities of Deep Machine Learning Systems for Skin Cancer Diagnosis.

The Journal of investigative dermatology Sep 12, 2020
Humans Deep Learning Diagnosis, Differential Color Melanoma Skin Neoplasms Dermoscopy Nevus, Pigmented Skin Image Interpretation, Computer-Assisted
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Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study.

Journal of medical Internet research Sep 11, 2020
BACKGROUND: Early detection of melanoma can be lifesaving but this remains a challenge. Recent diagnostic studies have revealed the superiority of artificial intelligence (AI) in classifying dermoscopic images of melanoma and nevi, concluding that th...
Dermatologists Humans Artificial Intelligence Surveys and Questionnaires Diagnostic Imaging Internet Melanoma Skin Neoplasms Dermoscopy
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Value of MR-based radiomics in differentiating uveal melanoma from other intraocular masses in adults.

European journal of radiology Sep 8, 2020
PURPOSE: To assess the performance of machine learning (ML)-based magnetic resonance imaging (MRI) radiomics analysis for discriminating between uveal melanoma (UM) and other intraocular masses.
Uveal Neoplasms Uveal Melanoma Diagnosis, Differential Image Enhancement Child Eye Neoplasms ROC Curve Logistic Models Retrospective Studies Humans Support Vector Machine Female Male Contrast Media Melanoma Young Adult Middle Aged Magnetic Resonance Imaging Reproducibility of Results Adult Adolescent Aged
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Use of artificial intelligence in skin cancer diagnosis and management.

The Medical journal of Australia Sep 6, 2020
Artificial Intelligence Algorithms Melanoma Humans Skin Disease Management Nevus, Pigmented Skin Neoplasms Dermoscopy Early Detection of Cancer
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Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections.

Translational vision science & technology Sep 1, 2020
BACKGROUND: Uveal melanoma (UM) is the most common primary intraocular malignancy in adults. Monosomy 3 and mutation are strong prognostic factors predicting metastatic risk in UM. Nuclear BAP1 (nBAP1) expression is a close immunohistochemical surro...
Artificial Intelligence Melanoma Adult Deep Learning Tumor Suppressor Proteins Ubiquitin Thiolesterase Hematoxylin Eosine Yellowish-(YS) Uveal Melanoma Uveal Neoplasms Humans
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The Development of a Skin Cancer Classification System for Pigmented Skin Lesions Using Deep Learning.

Biomolecules Jul 29, 2020
Recent studies have demonstrated the usefulness of convolutional neural networks (CNNs) to classify images of melanoma, with accuracies comparable to those achieved by dermatologists. However, the performance of a CNN trained with only clinical image...
Deep Learning Skin Melanoma Skin Neoplasms Humans Neural Networks, Computer
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Guiding biopsies of pigmented lesions with deep learning.

The Australasian journal of dermatology Jul 22, 2020
Humans Image-Guided Biopsy Nevus, Pigmented Melanoma Skin Neoplasms Deep Learning
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Automatic skin lesion classification based on mid-level feature learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 21, 2020
Dermoscopic images are widely used for melanoma detection. Many existing works based on traditional classification methods and deep learning models have been proposed for automatic skin lesion analysis. The traditional classification methods use hand...
Humans Neural Networks, Computer Melanoma Machine Learning
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Melanoma detection using adversarial training and deep transfer learning.

Physics in medicine and biology Jul 6, 2020
Skin lesion datasets consist predominantly of normal samples with only a small percentage of abnormal ones, giving rise to the class imbalance problem. Also, skin lesion images are largely similar in overall appearance owing to the low inter-class va...
Deep Learning Image Processing, Computer-Assisted Melanoma Skin Neoplasms Humans
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Automatic diagnosis of melanoma using hyperspectral data and GoogLeNet.

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) Jun 25, 2020
BACKGROUND: Melanoma is a type of superficial tumor. As advanced melanoma has a poor prognosis, early detection and therapy are essential to reduce melanoma-related deaths. To that end, there is a need to develop a quantitative method for diagnosing ...
Machine Learning Humans Melanoma Neural Networks, Computer Spectrum Analysis
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