AIMC Topic: Skin Diseases

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Techniques and Applications in Skin OCT Analysis.

Advances in experimental medicine and biology Jan 1, 2020
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-...
Humans Machine Learning Skin Skin Diseases Image Processing, Computer-Assisted Tomography, Optical Coherence
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Skin Lesion Detection with Support Vector Machines on iOS Devices.

Studies in health technology and informatics Aug 21, 2019
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...
Skin Diseases Machine Learning Algorithms Image Processing, Computer-Assisted Humans Support Vector Machine
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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 Jul 1, 2019
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...
Image Processing, Computer-Assisted Skin Diseases Deep Learning Dermatology Humans Neural Networks, Computer
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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 Jul 1, 2019
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...
Machine Learning Algorithms Humans Skin Diseases Dermoscopy
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How will clinical practice be impacted by artificial intelligence?

European journal of dermatology : EJD Apr 1, 2019
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...
Skin Diseases Professional Practice Precision Medicine Clinical Competence Humans Delivery of Health Care Artificial Intelligence
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[Artificial intelligence and the skin specialist].

Revue medicale suisse Mar 27, 2019
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 ...
Skin Diseases General Practitioners Artificial Intelligence Software
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Detecting Chemotherapeutic Skin Adverse Reactions in Social Health Networks Using Deep Learning.

JAMA oncology Apr 1, 2018
This study reports proof-of-principle early detection of chemotherapeutic-associated skin adverse drug reactions from social health networks using a deep learning–based signal generation pipeline to capture how patients describe cutaneous eruptions.
Data Mining Information Storage and Retrieval Product Surveillance, Postmarketing Social Networking Skin Diseases Deep Learning Community Networks Publications Drug-Related Side Effects and Adverse Reactions Bias Humans Antineoplastic Agents
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GA-ANFIS Expert System Prototype for Prediction of Dermatological Diseases.

Studies in health technology and informatics Jan 1, 2015
This paper presents novel GA-ANFIS expert system prototype for dermatological disease detection by using dermatological features and diagnoses collected in real conditions. Nine dermatological features are used as inputs to classifiers that are based...
Skin Diseases Expert Systems Decision Support Systems, Clinical Machine Learning Reproducibility of Results Algorithms Diagnosis, Computer-Assisted Sensitivity and Specificity Humans Pilot Projects
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