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Keratosis, Actinic

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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm.

The Journal of investigative dermatology 29428356
We tested the use of a deep learning algorithm to classify the clinical images of 12 skin diseases-basal cell carcinoma, squamous cell carcinoma, intraepithelial carcinoma, actinic keratosis, seborrheic keratosis, malignant melanoma, melanocytic nevu...
Adult Aged Aged, 80 and over Area Under Curve Biopsy Datasets as Topic Deep Learning Diagnosis, Differential False Positive Reactions Female Granuloma, Pyogenic Humans Image Processing, Computer-Assisted Keratosis, Actinic Keratosis, Seborrheic Lentigo Male Middle Aged Photography Predictive Value of Tests ROC Curve Skin Skin Neoplasms Software Warts Young Adult
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The utility and reliability of a deep learning algorithm as a diagnosis support tool in head & neck non-melanoma skin malignancies.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery 39242415
OBJECTIVE: The incidence of non-melanoma skin cancers, encompassing basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC), is on the rise globally and new methods to improve skin malignancy diagnosis are necessary. This study aims t...
Aged Aged, 80 and over Algorithms Carcinoma, Basal Cell Carcinoma, Squamous Cell Cheilitis Deep Learning Female Head and Neck Neoplasms Humans Keratosis, Actinic Keratosis, Seborrheic Longitudinal Studies Male Middle Aged Prospective Studies Reproducibility of Results Skin Neoplasms
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Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid.

Journal of biomedical optics 40041369
SIGNIFICANCE: The incidence of keratinocyte carcinomas (KCs) is increasing every year, making the task of developing new methods for KC early diagnosis of utmost medical and economical importance.
Aged Aged, 80 and over Carcinoma, Basal Cell Carcinoma, Squamous Cell Diagnosis, Computer-Assisted Discriminant Analysis Female Humans Keratosis, Actinic Machine Learning Male Middle Aged Optical Imaging Skin Skin Neoplasms Spectrometry, Fluorescence Support Vector Machine
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