A Transfer Learning-Based Deep CNN Approach for Classification and Diagnosis of Acute Lymphocytic Leukemia Cells-Reference-Cited by-同舟云学术

A Transfer Learning-Based Deep CNN Approach for Classification and Diagnosis of Acute Lymphocytic Leukemia Cells

Published:2022-03-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Decision Aid Sciences and Applications (DASA)
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Author:

Magpantay Leo Dominick C.¹,Alon Helcy D.¹,Austria Yolanda D.²,Melegrito Mark P.³,Fernando Glenn John O.⁴

Affiliation:

1. Batangas State University,Computer Engineering Program,Batangas City,Philippines

2. Adamson University,Department of Computer Engineering,Manila,Philippines

3. Technological University of the Philippines,Department of Electronics and Communications Engineering,Manila,Philippines

4. Ifugao State University,College of Computing Sciences,Ifugao,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9764877/9764959/09765000.pdf?arnumber=9765000

Reference22 articles.

1. Enhanced recognition of acute lymphoblastic leukemia cells in microscopic images based on feature reduction using principle component analysis;moradiamin;Frontiers in Biomedical Technologies,2015

2. Leukemia Blood Cell Image Classification Using Convolutional Neural Network

3. Indoor Human Fall Detection Using Data Augmentation-Assisted Transfer Learning in an Aging Population for Smart Homecare;melo;A Deep Convolutional Neural Network Approach,2021

4. Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis

5. Detection of Underwater Marine Plastic Debris Using an Augmented Low Sample Size Dataset for Machine Vision System: A Deep Transfer Learning Approach

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