Work

CNN-KNN Model for Assessing Hair Health in Telogen Effluvium

Year: 2025

Type: conference-paper

Source: International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)

DOI: 10.1109/idciot64235.2025.10915143

Authors: Gotte Ranjith Kumar, Shubham, Deepak Banerjee

Institutions: SR University, Chitkara University

Language: English

Topic: Hair Growth and Disorders

Subfield: Urology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4408399861

FWCI: 13.35

Cites: 16

Cited by: 1

Related to: 10