SBCDNet: An Efficient Sparse-Based Deep Cascade Blood Cancer Detection Network
Author:
Affiliation:
1. School of Electronics Engineering (SENSE), VIT Vellore, Tamil Nadu, India
2. Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7782634/10352975/10368276.pdf?arnumber=10368276
Reference21 articles.
1. Novel Contraharmonic Correlative Attention Loss for Microaneurysm Segmentation in Fundus Images
2. An Efficient Blood-Cell Segmentation for the Detection of Hematological Disorders
3. FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging
4. A Data-Efficient Approach for Automated Classification of OCT Images Using Generative Adversarial Network
5. A Review of Automated Methods for the Detection of Sickle Cell Disease
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