Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
August 2025
Research cited in this study
7 / 7 results
research Beyond Hair Loss: Exploring the Evolution of Androgenetic Alopecia Research Based on Text Mining and Bibliometrics
Visualizing data helps guide future androgenetic alopecia research and policies.
research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
research Prediction of Alopecia Areata using CNN
research FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
The model accurately detects alopecia areata with 84.3% accuracy.
research Deep Review on Alopecia Areata Diagnosis for Hair Loss-Related Autoimmune Disorder
Machine learning and deep learning can effectively diagnose alopecia areata.
research Classification Framework for Healthy Hair and Alopecia Areata: A Machine Learning Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
Similar Research
5 / 1000+ results
research An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
research Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
research DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM
Machine learning and deep learning can effectively diagnose alopecia areata.