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Research 631–660 of 1000+
- A Profuse Pipeline of Promising Options
- Ectopic olfactory receptors in human: New therapeutic possibilities
- Toxic and Metabolic Disorders of the Nervous System
- Highlighting nuances of blue light phototherapy: Mechanisms and safety considerations
- Long-acting microneedle formulations
- FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
- Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
- Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
- Investigating Different Deep learning Models for Classification of Folliculitis
- Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
- Deep Learning-based Automatic System for Diagnosis and Classification of Skin Dermatoses
- DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING
- A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
- 200 Deep learning model to predict sentinel lymph node status in melanoma patients
- Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- A Comprehensive Survey on Vitiligo Detection Using Deep Learning
- How Can Clinicians Leverage Vibe Coding for Machine Learning and Deep Learning Research?
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- Hair Color Digitization through Imaging and Deep Inverse Graphics
- Objective quantification of chemotherapy-induced madarosis: a pilot study of an automated computer vision pipeline for eyebrow density assessment
- 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
- 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
- Deep Insight of Design, Mechanism, and Cancer Theranostic Strategy of Nanozymes