AIMC Topic: Skin Neoplasms

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[Ⅰ.Artificial-Intelligence Based Skin Tumor Classifier].

Gan to kagaku ryoho. Cancer & chemotherapy Apr 1, 2019
Humans Artificial Intelligence Intelligence Algorithms Skin Neoplasms
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Computational neural network in melanocytic lesions diagnosis: artificial intelligence to improve diagnosis in dermatology?

European journal of dermatology : EJD Apr 1, 2019
Diagnosis in dermatology is largely based on contextual factors going far beyond the visual and dermoscopic inspection of a lesion. Diagnostic tools such as the different types of dermoscopy, confocal microscopy and optical coherence tomography (OCT)...
Melanoma Humans Skin Neoplasms Tomography, Optical Coherence Dermoscopy Deep Learning Dermatology Neural Networks, Computer Skin Image Processing, Computer-Assisted Melanocytes Sensitivity and Specificity Artificial Intelligence Microscopy, Confocal Algorithms
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Deep Learning in Medicine. Are We Ready?

Annals of the Academy of Medicine, Singapore Jan 1, 2019
Mass Screening Triage Referral and Consultation Skin Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Machine Learning Melanoma Diabetic Retinopathy Artificial Intelligence
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Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks.

JAMA dermatology Jan 1, 2019
IMPORTANCE: Convolutional neural networks (CNNs) achieve expert-level accuracy in the diagnosis of pigmented melanocytic lesions. However, the most common types of skin cancer are nonpigmented and nonmelanocytic, and are more difficult to diagnose.
Humans Female Skin Neoplasms Dermoscopy Reproducibility of Results Neural Networks, Computer Algorithms Retrospective Studies Skin ROC Curve Follow-Up Studies Diagnosis, Differential Adult Male Middle Aged
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How Should Artificial Intelligence Screen for Skin Cancer and Deliver Diagnostic Predictions to Patients?

JAMA dermatology Dec 1, 2018
Diagnostic Imaging Neoplasm Staging Skin Neoplasms Early Detection of Cancer Predictive Value of Tests Humans Artificial Intelligence
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Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists.

Annals of oncology : official journal of the European Society for Medical Oncology Aug 1, 2018
BACKGROUND: Deep learning convolutional neural networks (CNN) may facilitate melanoma detection, but data comparing a CNN's diagnostic performance to larger groups of dermatologists are lacking.
Cross-Sectional Studies Deep Learning Clinical Competence Skin Dermatologists ROC Curve Image Processing, Computer-Assisted Melanoma Humans International Cooperation Retrospective Studies Skin Neoplasms Dermoscopy
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Rethinking Skin Lesion Segmentation in a Convolutional Classifier.

Journal of digital imaging Aug 1, 2018
Melanoma is a fatal form of skin cancer when left undiagnosed. Computer-aided diagnosis systems powered by convolutional neural networks (CNNs) can improve diagnostic accuracy and save lives. CNNs have been successfully used in both skin lesion segme...
Artifacts Aged Adult Sensitivity and Specificity Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Male Machine Learning Melanoma Humans Middle Aged Female Skin Neoplasms Neural Networks, Computer
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Dense deconvolution net: Multi path fusion and dense deconvolution for high resolution skin lesion segmentation.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: Dermoscopy imaging has been a routine examination approach for skin lesion diagnosis. Accurate segmentation is the first step for automatic dermoscopy image assessment.
Dermoscopy Image Processing, Computer-Assisted Diagnosis, Differential Humans Nevus Neural Networks, Computer Skin Neoplasms
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Population-Based Analysis of Histologically Confirmed Melanocytic Proliferations Using Natural Language Processing.

JAMA dermatology Jan 1, 2018
IMPORTANCE: Population-based information on the distribution of histologic diagnoses associated with skin biopsies is unknown. Electronic medical records (EMRs) enable automated extraction of pathology report data to improve our epidemiologic underst...
Melanocytes Adult Melanoma, Cutaneous Malignant Cross-Sectional Studies Electronic Health Records SEER Program Female Humans Melanoma Male United States Immunohistochemistry Skin Neoplasms Middle Aged Biopsy, Needle Cell Proliferation Aged Natural Language Processing
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[Computer-based diagnosis of skin cancer using artificial intelligence].

Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete Oct 1, 2017
Humans Artificial Intelligence Skin Neoplasms
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