1 |
Identification of anemia and its severity level in a peripheral blood smear using 3-tier deep neural network |
Applied Sciences |
https://doi.org/10.3390/app12105030 |
2 |
Semantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder Network |
IEEE Access |
10.1109/ACCESS.2021.3131768 |
3 |
A Framework for Segmentation and Classification of Blood Cells Using Generative Adversarial Networks |
IEEE Access |
Revision Submitted |
4 |
Blood Cell Image Segmentation and Classification: A Systematic Review |
Computerized Medical Imaging and Graphics |
Paper Submitted |
5 |
AneRBC- A Benchmark Dataset for Computer-Aided Anemia Diagnosis Using RBC Images. |
Scientific data |
will be submitted within a week |
6 |
Anemic RBC Segmentation and Classification in Peripheral Blood Smear Images Using a Hybrid Synergic Deep Learning Model |
In Progress |
50% Completed |