AIMC Topic: Nails
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Nailfold capillaroscopy and deep learning in diabetes.
Journal of diabetes
Jan 15, 2023
OBJECTIVE: To determine whether nailfold capillary images, acquired using video capillaroscopy, can provide diagnostic information about diabetes and its complications.
Automated detection of superficial fungal infections from microscopic images through a regional convolutional neural network.
PloS one
Aug 17, 2021
Direct microscopic examination with potassium hydroxide is generally used as a screening method for diagnosing superficial fungal infections. Although this type of examination is faster than other diagnostic methods, it can still be time-consuming to...
Automated White Blood Cell Counting in Nailfold Capillary Using Deep Learning Segmentation and Video Stabilization.
Sensors (Basel, Switzerland)
Dec 11, 2020
White blood cells (WBCs) are essential components of the immune system in the human body. Various invasive and noninvasive methods to monitor the condition of the WBCs have been developed. Among them, a noninvasive method exploits an optical characte...
The design and application of an automated microscope developed based on deep learning for fungal detection in dermatology.
Mycoses
Dec 7, 2020
BACKGROUND: Light microscopy to study the infection of fungi in skin specimens is time-consuming and requires automation.
Segmenting nailfold capillaries using an improved U-net network.
Microvascular research
May 1, 2020
To assess the microcirculation in a patient's capillaries, clinicians often use the valuable and non-invasive diagnostic tool of nailfold capillaroscopy (NC). In particular, evaluating the images that result from NC is particularly important for diag...
Occurrence of perfluoroalkyl substances in matched human serum, urine, hair and nail.
Journal of environmental sciences (China)
Sep 1, 2017
The purpose of this study was to determine perfluoroalkyl substances (PFASs) in human serum, urine, hair and nail from general populations, and to investigate the possibility for human urine, hair and nail used as the biomonitoring sample for PFASs e...
Establishment of an intelligent analysis system for clinical image features of melanonychia based on deep learning image segmentation.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jul 1, 2025
Melanonychia, a condition that can be indicative of malignant melanoma, presents a significant challenge in early diagnosis due to the invasive nature and equipment dependency of traditional diagnostic methods such as nail biopsy and dermatoscope ima...
CAPI-Detect: machine learning in capillaroscopy reveals new variables influencing diagnosis.
Rheumatology (Oxford, England)
Jun 1, 2025
OBJECTIVES: Nailfold videocapillaroscopy (NVC) is the gold standard for diagnosing SSc and differentiating primary from secondary RP. The CAPI-Score algorithm, designed for simplicity, classifies capillaroscopy scleroderma patterns (CSPs) using a lim...
A deep learning system for quantitative assessment of microvascular abnormalities in nailfold capillary images.
Rheumatology (Oxford, England)
Jun 1, 2023
OBJECTIVES: Nailfold capillaroscopy is key to timely diagnosis of SSc, but is often not used in rheumatology clinics because the images are difficult to interpret. We aimed to develop and validate a fully automated image analysis system to fill this ...
Relationship of the low-density lipoprotein (LDL)/high-density lipoprotein (HDL) index with antioxidant enzymes and with the oxLDL/HDL index.
Gaceta medica de Mexico
Jan 1, 2019
INTRODUCTION: The low-density lipoprotein (LDL)/high-density lipoprotein (HDL) index is a predictive factor for atherosclerosis, which is associated with oxidative modifications.
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