AIMC Topic: Skin Diseases

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Skin lesion segmentation using high-resolution convolutional neural network.

Computer methods and programs in biomedicine Dec 4, 2019
BACKGROUND AND OBJECTIVE: Skin lesion segmentation is an important but challenging task in computer-aided diagnosis of dermoscopy images. Many segmentation methods based on convolutional neural networks often fail to extract accurate lesion boundarie...
Humans Neural Networks, Computer Diagnosis, Computer-Assisted Skin Diseases Artifacts Algorithms Dermoscopy
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Systematic review of machine learning for diagnosis and prognosis in dermatology.

The Journal of dermatological treatment Oct 31, 2019
Software systems using artificial intelligence for medical purposes have been developed in recent years. The success of deep neural networks (DNN) in 2012 in the image recognition challenge ImageNet LSVRC 2010 fueled expectations of the potential fo...
Skin Diseases Skin Ulcer Humans Melanoma Prognosis Skin Neoplasms Machine Learning Databases, Factual
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Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification.

IEEE journal of biomedical and health informatics Sep 23, 2019
Deep learning has been used to analyze and diagnose various skin diseases through medical imaging. However, recent researches show that a well-trained deep learning model may not generalize well to data from different cohorts due to domain shift. Sim...
Databases, Factual Melanoma Deep Learning Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Skin Skin Diseases
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Self-Paced Balance Learning for Clinical Skin Disease Recognition.

IEEE transactions on neural networks and learning systems Jun 12, 2019
Class imbalance is a challenging problem in many classification tasks. It induces biased classification results for minority classes that contain less training samples than others. Most existing approaches aim to remedy the imbalanced number of insta...
Skin Diseases Pattern Recognition, Automated Algorithms Databases, Factual Humans Machine Learning
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Classification of Skin Disease using Ensemble Data Mining Techniques.

Asian Pacific journal of cancer prevention : APJCP Jun 1, 2019
Objective: Skin diseases are a major global health problem associated with high number of people. With the rapid development of technologies and the application of various data mining techniques in recent years, the progress of dermatological predict...
Skin Diseases Data Mining Algorithms Prognosis Humans Machine Learning
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Data augmentation in dermatology image recognition using machine learning.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) May 29, 2019
BACKGROUND: Each year in the United States, over 80 million people are affected by acne, atopic dermatitis, rosacea, psoriasis, and impetigo. Artificial intelligence and machine learning could prove to be a good tool for assisting in the diagnosis of...
Databases, Factual Deep Learning Skin Diseases Humans Image Interpretation, Computer-Assisted Skin
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Augmented Intelligence in Dermatology: Fantasy or Future?

Dermatology (Basel, Switzerland) Mar 19, 2019
Dermatology Algorithms Skin Diseases Humans Artificial Intelligence
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Attention Residual Learning for Skin Lesion Classification.

IEEE transactions on medical imaging Jan 21, 2019
Automated skin lesion classification in dermoscopy images is an essential way to improve the diagnostic performance and reduce melanoma deaths. Although deep convolutional neural networks (DCNNs) have made dramatic breakthroughs in many image classif...
Neural Networks, Computer Databases, Factual Dermoscopy Image Interpretation, Computer-Assisted Signal Processing, Computer-Assisted Humans Skin Skin Diseases
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Artificial Intelligence Based Skin Classification Using GMM.

Journal of medical systems Nov 20, 2018
This study describes the usage of neural community based on the texture evaluation of pores and skin a variety of similarities in their signs, inclusive of Measles (rubella), German measles (rubella), and Chickenpox etc. In fashionable, these illness...
Image Processing, Computer-Assisted Humans Skin Wavelet Analysis Skin Diseases Artificial Intelligence Neural Networks, Computer Pattern Recognition, Automated Dermoscopy
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Domain-specific classification-pretrained fully convolutional network encoders for skin lesion segmentation.

Computers in biology and medicine Nov 16, 2018
BACKGROUND AND OBJECTIVE: Fully convolutional neural networks have been shown to perform well for automated skin lesion segmentation on digital dermatoscopic images. Our concept is that transferring encoder weights from a network trained on a classif...
Skin Dermoscopy Humans Skin Diseases Image Processing, Computer-Assisted Neural Networks, Computer
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