research scMC learns biological variation through the alignment of multiple single-cell genomics datasets
scMC effectively separates biological signals from technical noise in single-cell genomics data.
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research Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
The method improves hair image segmentation accuracy while reducing annotation costs.
research Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm
The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
research An Integrated Approach for Diabetes Detection Using Fisher Score Feature Selection and Capsule Network
The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.
research Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
research Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Machine learning can effectively predict type 2 diabetes risk.
research Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
research A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women
The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.
research Identificación de la variación molecular y genética subyacente a las enfermedades de la piel
Non-coding RNAs may be key in diagnosing and treating rare skin disorders.
research Haplotype analysis ofVEGFgene polymorphisms in polycystic ovary syndrome
Certain gene variations are found in people with polycystic ovary syndrome.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
research Establishment of a murine cGVHD model with scleroderma
A mouse model for studying scleroderma in chronic graft-versus-host disease was successfully created.
research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.
research The Use of Ovarian Vein Sampling to Lateralize a Virilizing Leydig Cell Ovarian Tumor
Ovarian vein sampling can effectively locate ovarian tumors when imaging is unclear.
research Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
research Transudation of phVEGF165 into sclerotic skin to promote hair growth and regeneration in mice
VEGF can boost hair growth in mice with scleroderma.
research Void Volume Fraction of Granular Scaffolds
VVF alone can't fully describe porosity in granular scaffolds.
research Aspect-Level Drug Reviews Sentiment Analysis Based on Double BiGRU and Knowledge Transfer
A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
research Metabolic, Behavioral, and Reproductive Effects of Vertical Sleeve Gastrectomy in an Obese Rat Model of Polycystic Ovary Syndrome
Vertical sleeve gastrectomy improved metabolism, behavior, and reproduction in obese rats with PCOS.
research Neurospectrum: A Geometric and Topological Deep Learning Framework for Uncovering Spatiotemporal Signatures in Neural Activity
Neurospectrum effectively analyzes neural signals to predict and identify brain activity patterns better than traditional methods.
research A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
research The VEGF +405 G>C 5' untranslated region polymorphism and risk of PCOS: a study in the South Indian Women
The VEGF +405G allele may increase the risk of PCOS in South Indian women.
research VISIA Skin Analysis System as a Tool to Evaluate the Reduction of Pigmented Skin and Vascular Lesions Using the 532 Nm Laser
The 532 nm laser effectively reduces facial vascular and pigmented lesions, with the VISIA system reliably assessing treatment results.
research Multiscale Morphological Reconstruction for Hair Removal in Dermoscopy Images
The method accurately detects and removes hair from skin images to improve melanoma diagnosis.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
The model accurately identifies hair diseases using deep learning.
research 512 Varicella-zoster virus in actively spreading segmental vitiligo skin
The study suggests a link between varicella-zoster virus and segmental vitiligo, with evidence of the virus disrupting skin pigment cells.
research Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.