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Research 181–210 of 201
- Azimuthal Scattering from Elliptical Hair Fibers
- Scalp Surgery: Anatomic and Biomechanical Considerations
- Using morphological operators and inpainting for hair removal in dermoscopic images
- Flow-guided hair removal for automated skin lesion identification
- Lipedematous Alopecia: Clinical, Histopathological, and Trichoscopic Findings of a Single Case and Review of the Literature
- Tensile properties of twisted hair fibers
- Microscopic high-resolution digital volumetric imaging of human hair fibers
- A reciprocal lattice approach to assessing the luster of hair fibers, based on scattering by periodically deformed cylinders
- Surgical Anatomy of the Scalp
- 464 Spatial transcriptomics links gene expression profiles to functional and structural traits of darkly pigmented skin
- Involucrin: A Constituent of Cross-Linked Envelopes and Marker of Squamous Maturation
- Primary Essential Cutis Verticis Gyrata: A Case Report with a Review of Literature
- Evaluation of hypoglycemic and anti-hyperglycemic potential of Tridax procumbens (Linn.)
- Assessment and Treatment Outcomes of Persistent Radiation-Induced Alopecia in Patients With Cancer
- Structural changes in trichocyte keratin intermediate filaments during keratinization
- A quantitative technique to analyze and evaluate microstructures of skin hair follicles based on mueller matrix polarimetry
- Incidence of alopecia in brain tumour patients treated with pencil scanning proton therapy and validation of existing NTCP models
- Abstracts
- Related Topic: Drug Permeation Through Hair Follicles
- Synthesis of a new amino acid derivative with long‐lasting hair shape control effects and elucidation of its mechanisms
- Dahuang-Gancao Decoction Ameliorates Testosterone-Induced Androgenetic Alopecia in Mice
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
- 42063 Image Quality Assessment using Convolutional Neural Network in Clinical Skin Images
- Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
- Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
- In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks
- Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
- Generative adversarial networks for anonymous acneic face dataset generation