ScholarIQanswers from OpenAlex
Digital Imaging for Blood Diseases
TopicLeading institutions, researchers & key papers
Digital Imaging for Blood Diseases is a topic indexed in ScholarIQ from OpenAlex.
What is known about Digital Imaging for Blood Diseases?
ScholarIQrecord summary
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?
ScholarIQindexed works
Digital Imaging for Blood Diseases has 151 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Digital Imaging for Blood Diseases?
ScholarIQopenalex
The OpenAlex for Digital Imaging for Blood Diseases is on the source record.
What are the most-cited papers on Digital Imaging for Blood Diseases?
ScholarIQmost cited works
Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases
Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Xianjun Fu, Yuxing Dai, Feiwei Qin, Yong Peng, Yu Gao
Deep Learning Based Automatic Malaria Parasite Detection from Blood Smear and Its Smartphone Based Application
K. M. Faizullah Fuhad, Jannat Ferdousey Tuba, Md. Rabiul Ali Sarker, Sifat Momen, Nabeel Mohammed, Tanzilur Rahman
An efficient deep Convolutional Neural Network based detection and classification of Acute Lymphoblastic Leukemia
Pradeep Kumar Das, Sukadev Meher
Fine-grained leukocyte classification with deep residual learning for microscopic images
Feiwei Qin, Nannan Gao, Yong Peng, Zizhao Wu, Shuying Shen, Artur Grudtsin
Differential box counting methods for estimating fractal dimension of gray-scale images: A survey
Chinmaya Panigrahy, Ayan Seal, Nihar Kumar Mahato, Debotosh Bhattacharjee
Where is Digital Imaging for Blood Diseases research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Digital Imaging for Blood Diseases is open access?
ScholarIQopen access share
33%OPEN ACCESS