Work

Semi-supervised contrastive learning for white blood cell segmentation from label-free quantitative phase imaging

Year: 2023

Type: conference-paper

Source: SPIE Medical Imaging: Digital and Computational Pathology

DOI: 10.1117/12.2654584

Authors: Sourya Sengupta, Michael Fanous, Hua Li, Mark Anastasio

Institutions: University of Illinois Urbana-Champaign, Washington University in St. Louis

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: W4362694300

FWCI: 0.118

Cites:

Cited by: 1

Related to: 10