AIMC Topic: Skin Neoplasms

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Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.

Journal of the American Academy of Dermatology Jul 12, 2019
BACKGROUND: Computer vision has promise in image-based cutaneous melanoma diagnosis but clinical utility is uncertain.
Image Interpretation, Computer-Assisted Spain International Cooperation Internship and Residency Dermatologists Israel Colombia Nevus Keratosis, Seborrheic Dermoscopy Cross-Sectional Studies Deep Learning Humans Diagnosis, Differential Melanoma Skin Skin Neoplasms ROC Curve United States
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Detection of Skin Cancer Using SVM, Random Forest and kNN Classifiers.

Journal of medical systems Jul 4, 2019
Most common and deadly type of cancer is Skin cancer. The destructive kind of cancers in skin is Melanoma as well as it can be identified at the initial stage and can be cured completely. For the diagnosis of melanoma, the identification of the melan...
Algorithms Melanoma Skin Neoplasms Support Vector Machine Humans
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Assessing the effectiveness of artificial intelligence methods for melanoma: A retrospective review.

Journal of the American Academy of Dermatology Jun 27, 2019
BACKGROUND: Artificial intelligence methods for the classification of melanoma have been studied extensively. However, few studies compare these methods under the same standards.
Retrospective Studies Melanoma Skin Neoplasms Sensitivity and Specificity Dermoscopy Reproducibility of Results Humans Artificial Intelligence
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Enhanced classifier training to improve precision of a convolutional neural network to identify images of skin lesions.

PloS one Jun 24, 2019
BACKGROUND: In recent months, multiple publications have demonstrated the use of convolutional neural networks (CNN) to classify images of skin cancer as precisely as dermatologists. However, these CNNs failed to outperform the International Symposiu...
Humans Dermoscopy Skin Image Interpretation, Computer-Assisted Databases, Factual Reproducibility of Results Dermatologists Neural Networks, Computer Melanoma Deep Learning Algorithms Skin Neoplasms
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Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study.

The Lancet. Oncology Jun 12, 2019
BACKGROUND: Whether machine-learning algorithms can diagnose all pigmented skin lesions as accurately as human experts is unclear. The aim of this study was to compare the diagnostic accuracy of state-of-the-art machine-learning algorithms with human...
Humans Female Skin Neoplasms Dermoscopy Reproducibility of Results Machine Learning Algorithms Retrospective Studies Pigmentation Disorders Adult Male Internet
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Machine versus man in skin cancer diagnosis.

The Lancet. Oncology Jun 11, 2019
Male Skin Internet Machine Learning Algorithms Skin Neoplasms Humans
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Artificial intelligence in dermato-oncology: a joint clinical and data science perspective.

International journal of dermatology May 31, 2019
Image Interpretation, Computer-Assisted Medical Oncology Datasets as Topic Humans Data Science Melanoma Early Detection of Cancer Skin Neoplasms Dermatology Deep Learning
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Pathologist-level classification of histopathological melanoma images with deep neural networks.

European journal of cancer (Oxford, England : 1990) May 23, 2019
BACKGROUND: The diagnosis of most cancers is made by a board-certified pathologist based on a tissue biopsy under the microscope. Recent research reveals a high discordance between individual pathologists. For melanoma, the literature reports 25-26% ...
Skin Neoplasms Reproducibility of Results Humans Biopsy Observer Variation Pathologists Melanoma Nevus Diagnosis, Computer-Assisted Microscopy Deep Learning Image Interpretation, Computer-Assisted Predictive Value of Tests
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The role of AI classifiers in skin cancer images.

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 20, 2019
BACKGROUND: The use of different imaging modalities to assist in skin cancer diagnosis is a common practice in clinical scenarios. Different features representative of the lesion under evaluation can be retrieved from image analysis and processing. H...
Photography Humans Forecasting Dermoscopy Skin Neoplasms Microscopy Artificial Intelligence Spectrum Analysis Algorithms
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Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture.

Computer methods and programs in biomedicine May 15, 2019
BACKGROUND AND OBJECTIVE: Skin melanoma is one of the major health problems in many countries. Dermatologists usually diagnose melanoma by visual inspection of moles. Digital hair removal can provide a non-invasive way to remove hair and hair-like re...
Melanoma Skin Neoplasms Neural Networks, Computer Deep Learning Humans Reproducibility of Results Hair Image Processing, Computer-Assisted Algorithms Diagnosis, Computer-Assisted Skin Databases, Factual Artifacts False Positive Reactions
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