Categorization & Classification of Acute & Chronic Leukaemia using Visual Geometry Group -16 Deep Convolutional Neural Network Architecture-Reference-Cited by-同舟云学术

Categorization & Classification of Acute & Chronic Leukaemia using Visual Geometry Group -16 Deep Convolutional Neural Network Architecture

Published:2023-02-22 Issue: Volume: Page:
ISSN:
Container-title:2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)
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Author:

Roopashree ¹,Suvarna Malini²,Dayakshini ³

Affiliation:

1. Sahyadri College of Engineering & Management,Department of Electronics & Communication Engineering,Mangaluru,India

2. Tontadarya College of Engineering,Department of Electronics & Communication Engineering,Gadag,India

3. St. Joseph College of Engineering,Department of Electronics & Communication Engineering,Mangaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10179605/10179606/10179851.pdf?arnumber=10179851

Reference11 articles.

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2. Mutual Information based hybrid model and deep learning for Acute Lymphocytic Leukemia detection in single cell blood smear images

3. An Aggregated-Based Deep Learning Method for Leukemic B-lymphoblast Classification

4. Comparison of traditional image processing and deep learning approaches for classification of white blood cells in peripheral blood smear images;hegde;Biocybernetics and Biomedical Engineering,2019

5. A Hybrid Deep Learning Architecture for Leukemic B-lymphoblast Classification

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1. Identifying Subtypes of Acute Lymphoblastic Leukemia Using Blood Smear Images: A Hybrid Learning Approach;Journal of The Institution of Engineers (India): Series B;2024-05-11