research MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
MSF-VMDNet accurately segments skin cancer images better than existing methods.
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30 / 1000+ results research Perbandingan Algoritma Multi-Thresholding, Konversi Biner, Low-Pass Filtering pada Segmentasi Rambut Kaki
Multi-thresholding is the best method for separating hair from skin in laser hair removal.
research Multi-omics empowered deep phenotyping of ulcerative colitis
Ulcerative colitis involves immune activation, chronic inflammation, and metabolic issues, some of which persist even during remission.
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 Hair cluster detection model based on dermoscopic images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
research Clinico-Pathological Profile of Cutaneous Lupus Erythematosus Patients: A Report from A Tertiary Care Center of Chattogram
Most patients with Cutaneous Lupus Erythematosus are young females, and dermatologists play a key role in diagnosis.
research Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
Machine learning and single-cell analysis improve understanding and treatment of wound healing.
research Mathematical Modeling and Inference of Epidermal Growth Factor-Induced Mitogen-Activated Protein Kinase Cell Signaling Pathways
Mathematical modeling helps understand and predict the MAPK cell signaling pathway.
research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.
research Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.
research Improved Hidden Markov Algorithm Based on Bayes in Low Dose CT Images
The improved algorithm enhances low-dose CT image quality significantly better than other methods.
research Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
research A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
A new method accurately measures cell changes in breast cancer.
research Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
research Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
Artificial neural networks can accurately diagnose Alopecia Areata.
research The G1/S transition in mammalian stem cells in vivo is autonomously regulated by cell size
Cell size controls when stem cells divide.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research 575 An extract of Leontopodium alpinum prolongs anagen phase in human hair follicles ex vivo
Leontopodium alpinum extract may help reduce hair shedding by keeping hair in the growth phase longer.
research Psychotropic Medications and the Skin
Psychotropic medications can cause skin problems but also treat some skin conditions.
research Clinicopathological characteristics of cutaneous lupus erythematosus patients in Bangladesh
Most patients with cutaneous lupus erythematosus in Bangladesh are young women, with chronic forms and photosensitivity being common.
research Roles for Msx and Dlx homeoproteins in vertebrate development
Msx and Dlx genes are crucial for development, controlling cell behaviors like growth and differentiation through their roles as gene regulators.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
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 The role of 3Rs in the age of One Health: where we are and where we’re going
Innovative methods are reducing animal testing and improving biomedical research.
research Deciphering principles of morphogenesis from temporal and spatial patterns on the integument
The conclusion is that skin and hair patterns are formed by a mix of cell activities, molecular signals, and environmental factors.
research Straight hair associated with interferon-alfa plus ribavirin in hepatitis C infection
ALA-PDT is effective and safe for chronic X-ray dermatitis, providing complete or partial remission.
research Friends Turned Foes: Angiogenic Growth Factors beyond Angiogenesis
Some growth factors, while important for normal body functions, can cause diseases when not regulated properly.
research Cicatricial alopecia
Permanent hair loss from cicatricial alopecia is treated by reducing inflammation and managing symptoms, but regrowth in scarred areas is unlikely.
research Vogt-Koyanagi-Harada disease occurring during pegylated interferon-α2b and ribavirin combination therapy for chronic hepatitis C
Vogt-Koyanagi-Harada disease can develop during interferon therapy for chronic hepatitis C.
research Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers
AI can accurately identify some cosmetic fillers in ultrasound images but needs improvement for others.