AIMC Topic: Skin Neoplasms

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Accuracy of a convolutional neural network for dermatological diagnosis of tumours and skin lesions in a clinical setting.

Clinical and experimental dermatology May 11, 2021
Neural Networks, Computer Software Skin Neoplasms Diagnosis, Computer-Assisted Diagnosis, Differential Skin Diseases Humans
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A Visually Interpretable Deep Learning Framework for Histopathological Image-Based Skin Cancer Diagnosis.

IEEE journal of biomedical and health informatics May 11, 2021
Owing to the high incidence rate and the severe impact of skin cancer, the precise diagnosis of malignant skin tumors is a significant goal, especially considering treatment is normally effective if the tumor is detected early. Limited published hist...
Humans Deep Learning Skin Neoplasms Skin
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Dark corner artefact and diagnostic performance of a market-approved neural network for skin cancer classification.

Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG May 10, 2021
BACKGROUND AND OBJECTIVES: Convolutional neural networks (CNN) have proven dermatologist-level performance in skin lesion classification. Prior to a broader clinical application, an assessment of limitations is crucial. Therefore, the influence of a ...
Humans Neural Networks, Computer Prospective Studies Skin Neoplasms Deep Learning Artifacts
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Domain adaptation and self-supervised learning for surgical margin detection.

International journal of computer assisted radiology and surgery May 6, 2021
PURPOSE: One in five women who undergo breast conserving surgery will need a second revision surgery due to remaining tumor. The iKnife is a mass spectrometry modality that produces real-time margin information based on the metabolite signatures in s...
Humans Machine Learning Algorithms Female Margins of Excision Mastectomy, Segmental Skin Sensitivity and Specificity Skin Neoplasms Breast Operating Rooms Breast Neoplasms Carcinoma, Basal Cell Stochastic Processes Supervised Machine Learning Mastectomy Area Under Curve Reproducibility of Results Calibration
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Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning.

Computers in biology and medicine Apr 28, 2021
Accurate automated medical image recognition, including classification and segmentation, is one of the most challenging tasks in medical image analysis. Recently, deep learning methods have achieved remarkable success in medical image classification ...
Neural Networks, Computer Skin Neoplasms Deep Learning Bayes Theorem Uncertainty Humans
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Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification.

European journal of cancer (Oxford, England : 1990) Apr 7, 2021
BACKGROUND: Clinicians and pathologists traditionally use patient data in addition to clinical examination to support their diagnoses.
Sex Factors Image Interpretation, Computer-Assisted Germany Nevus Databases, Factual Adult Age Factors Retrospective Studies Predictive Value of Tests Male Female Microscopy Middle Aged Reproducibility of Results Melanoma Humans Aged Skin Neoplasms Neural Networks, Computer
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Deep-learning approach in the study of skin lesions.

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) Apr 6, 2021
BACKGROUND: Medical technology is far from reaching its full potential. An area that is currently expanding is that of precision medicine. The aim of this article is to present an application of precision medicine-a deep-learning approach to computer...
Diagnosis, Computer-Assisted Deep Learning Skin Diseases Humans Skin Neoplasms
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Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images.

Computer methods and programs in biomedicine Apr 3, 2021
BACKGROUND AND OBJECTIVE: The purpose of the present study was to investigate low-shot deep learning models applied to conjunctival melanoma detection using a small dataset with ocular surface images.
Humans Neural Networks, Computer Melanoma Skin Neoplasms Nevus, Pigmented Deep Learning
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Ultra-high-frequency ultrasound and machine learning approaches for the differential diagnosis of melanocytic lesions.

Experimental dermatology Mar 31, 2021
Malignant melanoma (MM) is one of the most dangerous skin cancers. The aim of this study was to present a potential new method for the differential diagnosis of MM from melanocytic naevi (MN). We examined 20 MM and 19 MN with a new ultra-high-frequen...
Humans Ultrasonography Skin Neoplasms Melanoma, Cutaneous Malignant Aged Sensitivity and Specificity Machine Learning Aged, 80 and over Male Female Adult Middle Aged Melanoma
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AI-based smartphone apps for risk assessment of skin cancer need more evaluation and better regulation.

British journal of cancer Mar 19, 2021
Smartphone applications ("apps") with artificial intelligence (AI) algorithms are increasingly used in healthcare. Widespread adoption of these apps must be supported by a robust evidence-base and app manufacturers' claims appropriately regulated. Cu...
European Union Diagnostic Test Approval United States Food and Drug Administration Precancerous Conditions Skin Neoplasms United States Risk Assessment Humans Evidence-Based Medicine Early Detection of Cancer Smartphone Adult Artificial Intelligence Europe Mobile Applications Sensitivity and Specificity Algorithms
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