Work

Combining Deep Learning Models for Cytological Image Classification

Year: 2024

Type: conference-paper

DOI: 10.1109/afros62115.2024.11037141

Authors: Mohammed Lamine Benomar, Traoré Alimata, Guindo Sadio

Institution: Université de ain Témouchent

Language: English

Topic: Digital Imaging for Blood Diseases

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4411552044

FWCI:

Cites: 11

Cited by:

Related to: 10