Work

Advancements in Machine Learning and Deep Learning Techniques for Sickle Cell Disease Detection using Digital Morphology

Year: 2024

Type: conference-paper

Source: International Conference on Computer and Applications (ICCA)

DOI: 10.1109/icca62237.2024.10927806

Authors: Rahiman S.K. Abdul, E Ben George, V.K. Anand, Eman Said Al Abri, Muna Saif Al Rahbi, Kausar Niazi Nadaf, Al Waleed Ahmed Al-Abdali

Institutions: University of Technology and Applied Sciences, Muscat, University of Technology and Applied Sciences

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: W4408861473

FWCI: 0.229

Cites: 13

Cited by: 1

Related to: 10