AIMC Topic: Skin

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SASAN: ground truth for the effective segmentation and classification of skin cancer using biopsy images.

Diagnosis (Berlin, Germany) Mar 18, 2024
OBJECTIVES: Early skin cancer diagnosis can save lives; however, traditional methods rely on expert knowledge and can be time-consuming. This calls for automated systems using machine learning and deep learning. However, existing datasets often focus...
Biopsy Skin Deep Learning Image Processing, Computer-Assisted Humans Algorithms Skin Neoplasms Machine Learning
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Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes.

Archives of dermatological research Mar 6, 2024
This paper presents the most current and innovative solutions applying modern digital image processing methods for the purpose of skin cancer diagnostics. Skin cancer is one of the most common types of cancers. It is said that in the USA only, one in...
Humans Image Processing, Computer-Assisted Canada Skin Artificial Intelligence Skin Neoplasms
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Deep learning-based skin care product recommendation: A focus on cosmetic ingredient analysis and facial skin conditions.

Journal of cosmetic dermatology Feb 27, 2024
BACKGROUND: Recommendations for cosmetics are gaining popularity, but they are not being made with consideration of the analysis of cosmetic ingredients, which customers consider important when selecting cosmetics.
Humans Deep Learning Cosmetics Skin Face Skin Diseases Skin Care
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Skin-Inspired Multi-Modal Mechanoreceptors for Dynamic Haptic Exploration.

Advanced materials (Deerfield Beach, Fla.) Feb 27, 2024
Active sensing is a fundamental aspect of human and animal interactions with the environment, providing essential information about the hardness, texture, and tackiness of objects. This ability stems from the presence of diverse mechanoreceptors in t...
Mechanoreceptors Biomimetic Materials Touch Robotics Skin Humans
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LAMA: Lesion-Aware Mixup Augmentation for Skin Lesion Segmentation.

Journal of imaging informatics in medicine Feb 26, 2024
Deep learning can exceed dermatologists' diagnostic accuracy in experimental image environments. However, inaccurate segmentation of images with multiple skin lesions can be seen with current methods. Thus, information present in multiple-lesion imag...
Skin Diseases Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Skin Dermoscopy Deep Learning Humans Neural Networks, Computer Databases, Factual Skin Neoplasms Algorithms
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Progress and challenges of artificial intelligence in skin of color.

International journal of dermatology Feb 12, 2024
Humans Dermatology Skin Pigmentation Artificial Intelligence Skin
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Artificial intelligence for skin permeability prediction: deep learning.

Journal of drug targeting Feb 1, 2024
BACKGROUND AND OBJECTIVE: Researchers have put in significant laboratory time and effort in measuring the permeability coefficient (Kp) of xenobiotics. To develop alternative approaches to this labour-intensive procedure, predictive models have been ...
Humans Permeability Deep Learning Skin Neural Networks, Computer Artificial Intelligence
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Understanding skin color bias in deep learning-based skin lesion segmentation.

Computer methods and programs in biomedicine Jan 24, 2024
BACKGROUND: The field of dermatological image analysis using deep neural networks includes the semantic segmentation of skin lesions, pivotal for lesion analysis, pathology inference, and diagnoses. While biases in neural network-based dermatoscopic ...
Skin Humans Skin Pigmentation Deep Learning Skin Diseases Dermoscopy Image Processing, Computer-Assisted
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From Skin Movement to Wearable Robotics: The Case of Robotic Gloves.

Soft robotics Jan 18, 2024
Previous research on wearable robotics focused on developing actuation mechanisms while overlooking influences of skin movement. During finger flexion, skins on the opisthenar and finger back are stretched. Impeding such skin movement will obstruct n...
Male Wearable Electronic Devices Adult Biomechanical Phenomena Skin Robotics Humans Fingers Equipment Design Female Movement
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Skin preparation-free, stretchable microneedle adhesive patches for reliable electrophysiological sensing and exoskeleton robot control.

Science advances Jan 17, 2024
High-fidelity and comfortable recording of electrophysiological (EP) signals with on-the-fly setup is essential for health care and human-machine interfaces (HMIs). Microneedle electrodes allow direct access to the epidermis and eliminate time-consum...
Electrodes Exoskeleton Device Adhesives Robotics Humans Skin Reproducibility of Results
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