AIMC Topic: Skin Diseases
Clear Filters Showing 81 to 90 of 184 articles
Melanoma segmentation using deep learning with test-time augmentations and conditional random fields.
Scientific reports
Mar 10, 2022
In a computer-aided diagnostic (CAD) system for skin lesion segmentation, variations in shape and size of the skin lesion makes the segmentation task more challenging. Lesion segmentation is an initial step in CAD schemes as it leads to low error rat...
Assessment of Skin Toxicity in an in Vitro Reconstituted Human Epidermis Model Using Deep Learning.
The American journal of pathology
Jan 19, 2022
Skin toxicity is a common safety concern associated with drugs that inhibit epidermal growth factor receptors as well as other targets involved in epidermal growth and differentiation. Recently, the use of a three-dimensional reconstructed human epid...
Hyper-fusion network for semi-automatic segmentation of skin lesions.
Medical image analysis
Dec 11, 2021
Segmentation of skin lesions is an important step for imaging-based clinical decision support systems. Automatic skin lesion segmentation methods based on fully convolutional networks (FCNs) are regarded as the state-of-the-art for accuracy. When the...
Characterizing dermatology mobile applications that use artificial intelligence.
Dermatology online journal
Sep 15, 2021
Classification of large-scale image database of various skin diseases using deep learning.
International journal of computer assisted radiology and surgery
Jul 26, 2021
PURPOSE: The purpose of this study was to develop a deep learning-based computer-aided diagnosis system for skin disease classification using photographic images of patients. The targets are 59 skin diseases, including localized and diffuse diseases ...
Prediction of skin disease using a new cytological taxonomy based on cytology and pathology with deep residual learning method.
Scientific reports
Jul 2, 2021
With the development of artificial intelligence, technique improvement of the classification of skin disease is addressed. However, few study concerned on the current classification system of International Classification of Diseases, Tenth Revision (...
Diving beetle-like miniaturized plungers with reversible, rapid biofluid capturing for machine learning-based care of skin disease.
Science advances
Jun 16, 2021
Recent advances in bioinspired nano/microstructures have received attention as promising approaches with which to implement smart skin-interfacial devices for personalized health care. In situ skin diagnosis requires adaptable skin adherence and rapi...
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
Diagnosis of skin diseases in the era of deep learning and mobile technology.
Computers in biology and medicine
May 4, 2021
Efficient methods developed with deep learning in the last ten years have provided objectivity and high accuracy in the diagnosis of skin diseases. They also support accurate, cost-effective and timely treatment. In addition, they provide diagnoses w...
Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM.
Sensors (Basel, Switzerland)
Apr 18, 2021
Deep learning models are efficient in learning the features that assist in understanding complex patterns precisely. This study proposed a computerized process of classifying skin disease through deep learning based MobileNet V2 and Long Short Term M...
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