AIMC Topic: Skin Diseases

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Research Techniques Made Simple: Deep Learning for the Classification of Dermatological Images.

The Journal of investigative dermatology
Deep learning is a branch of artificial intelligence that uses computational networks inspired by the human brain to extract patterns from raw data. Development and application of deep learning methods for image analysis, including classification, se...

Artificial Intelligence in Dermatology-Where We Are and the Way to the Future: A Review.

American journal of clinical dermatology
Although artificial intelligence has been available for some time, it has garnered significant interest recently and has been popularized by major companies with its applications in image identification, speech recognition and problem solving. Artifi...

Skin Disease Classification using Neural Network.

Current medical imaging
BACKGROUND: In this study, a novel and fully automatic skin disease classification approach is proposed using statistical feature extraction and Artificial Neural Network (ANN) based classification using first and second order statistical moments, th...

Is artificial intelligence going to replace dermatologists?

Cutis
The use of computers or machines in medicine dates back to the 1960s. Deep learning software programming is a subset of artificial intelligence (AI) based on the ability of a machine to learn from data and adaptively change. Deep learning is creating...

Techniques and Applications in Skin OCT Analysis.

Advances in experimental medicine and biology
The skin is the largest organ of our body. Skin disease abnormalities which occur within the skin layers are difficult to examine visually and often require biopsies to make a confirmation on a suspected condition. Such invasive methods are not well-...

Skin Lesion Detection with Support Vector Machines on iOS Devices.

Studies in health technology and informatics
Automated wound detection has become a common issue in health care. A broad variety of image processing algorithms already exist, but they are very power consuming on mobile devices. Meanwhile the use of machine learning algorithms is on the rise and...

Deep Learning for Automating the Organization of Institutional Dermatology Image Stores.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
A common challenge faced by researchers associated with healthcare institutions is that data of interest are often contained in electronic medical informatics systems that are centered on optimizing clinician/clinician and patient/clinician communica...

Light Field Image Dataset of Skin Lesions.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Light field imaging technology has been attracting increasing interest because it enables capturing enriched visual information and expands the processing capabilities of traditional 2D imaging systems. Dense multiview, accurate depth maps and multip...

How will clinical practice be impacted by artificial intelligence?

European journal of dermatology : EJD
Currently, artificial intelligence (AI) heavily impacts all human activities, including medicine, where needs for data analysis and interpretation are high and where technology opens new perspectives. Considering that current treatments do not always...

[Artificial intelligence and the skin specialist].

Revue medicale suisse
Artificial intelligence's progress is spread on front pages of both lay and scientific journals. After Chess, after Go, before Dota2 and Starcraft, super-trained softwares have equaled or out-performed dermatologists. But what is the future of these ...