research An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
Search
forLearn
0 / 0 results — no results
Research
5 / 42 resultsresearch Estimating Scalp Moisture In A Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.
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 Identification of Ferroptosis-Related Biomarkers in Alopecia Areata Through Machine Learning
Four genes are potential markers for hair loss condition alopecia areata, linked to a specific type of cell death.
research Peer Review of Computational Drug Repositioning Based on Side-Effects Mined from Social Media
Reviewers suggested the study on finding new drug uses through social media side-effects needs better methods and clearer limitations.
Community Join
0 / 0 results — no results