Identification of Bone Marrow Cell Morphologies Using a Novel Residual CNN-LSTM Aided Ensemble Technique-Reference-Cited by-同舟云学术

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Identification of Bone Marrow Cell Morphologies Using a Novel Residual CNN-LSTM Aided Ensemble Technique

Published:2023-12-07 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 6th International Conference on Electrical Information and Communication Technology (EICT)
language:
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Author:

Walid Md. Abul Ala¹,Shill Pintu Chandra¹

Affiliation:

1. Khulna University of Engineering & Technology,Department of Computer Science & Engineering,Khulna,Bangladesh,9203

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10426791/10427566/10427769.pdf?arnumber=10427769

Reference20 articles.

1. Fanconi anaemia and cancer: an intricate relationship

2. Deep learning for image-based cancer detection and diagnosis − A survey

3. Detection of cancer cells in whole blood using a dynamic deformable microfilter and a nucleic acid aptamer

4. Automated bone marrow cytology using deep learning to generate a histogram of cell types

5. Highly accurate differentiation of bone marrow cell morphologies using deep neural networks on a large image data set

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