Digital Imaging for Blood Diseases
Digital Imaging for Blood Diseases is a topic indexed in ScholarIQ from OpenAlex.
What is known about Digital Imaging for Blood Diseases?
This cluster of papers focuses on the automated analysis of blood cell images, particularly in the context of detecting malaria parasites and classifying leukemia. The research utilizes techniques such as image processing, convolutional neural networks, and machine learning for tasks including white blood cell segmentation, feature extraction, and automated diagnosis from microscopic blood images.
How many works does Digital Imaging for Blood Diseases have?
Digital Imaging for Blood Diseases has 32,412 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Digital Imaging for Blood Diseases have?
Digital Imaging for Blood Diseases has 170,057 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Digital Imaging for Blood Diseases?
The OpenAlex for Digital Imaging for Blood Diseases is on the source record.