Knowledge distillation model for Acute Lymphoblastic Leukemia Detection: Exploring the impact of nesterov-accelerated adaptive moment estimation optimizer-Reference-Cited by-同舟云学术

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Knowledge distillation model for Acute Lymphoblastic Leukemia Detection: Exploring the impact of nesterov-accelerated adaptive moment estimation optimizer

Published:2024-08 Issue: Volume:94 Page:106246
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Hassan Esraa^ORCID,Saber Abeer,Elbedwehy Samar

Publisher

Elsevier BV

Reference59 articles.

1. An efficient deep convolutional neural network based detection and classification of acute lymphoblastic leukemia;Das;Expert Syst Appl,2021

2. Taylor–monarch butterfly optimization-based support vector machine for acute lymphoblastic leukemia classification with blood smear microscopic images;Bai;Journal of Mechanics in Medicine and Biology,2021

3. ResRandSVM: hybrid approach for acute lymphocytic leukemia classification in blood smear images;Sulaiman;Diagnostics,2023

4. Refinement of ensemble strategy for acute lymphoblastic leukemia microscopic images using hybrid CNN-GRU-BiLSTM and MSVM classifier;Mohammed;Neural Comput Appl,2023

5. Acute lymphoblastic leukemia detection and classification of its subtypes using pretrained deep convolutional neural networks;Shafique;Technol. Cancer Res. Treat.,2018

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