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Research 61–90 of 1000+
- Vitadetect : Vitamin Deficiency Detection
- Objective quantification of chemotherapy-induced madarosis: a pilot study of an automated computer vision pipeline for eyebrow density assessment
- Efficient integration of human skin single-cell RNA sequencing data
- Efficient integration of human skin single-cell RNA sequencing data
- DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
- Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
- Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
- A Segmental Approach to Scoring Hair Density from Global Images: Introducing the Scalp Coverage Scoring Method for Clinical Trials and Practice
- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
- Analysis of modern approaches to hair care: An overview of products and techniques
- Analysis of modern approaches to hair care: An overview of products and techniques
- Genetic and Environmental Factors Affecting Hair Density in East Asian Populations
- Analysis of trichoscopic images using deep neural networks for the diagnosis and activity assessment of alopecia areata – a retrospective study
- Deep Hair Phenomics: Implications in Endocrinology, Development, and Aging
- Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- ADVANCES IN FUNCTIONAL NEUROSURGERY – MACHINE LEARNING, NEURAL ENGINEERING AND ROBOTICS IN TREATMENT OF NEURODEGENERATIVE DISORDERS
- Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
- Detecting shortcut learning for fair medical AI using shortcut testing
- Deep Insight of Design, Mechanism, and Cancer Theranostic Strategy of Nanozymes
- Hair color digitization through imaging and deep inverse graphics
- The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
- DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
- Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
- Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
- Predictive Modeling of Hair Fall using Random Forest Algorithms
- Abstract: Real Time Ultrasound Assisted Gluteal Fat Grafting: Increasing Safety in Gluteal Fat Augmentation
- MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
- JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison