Blood Cancer Detection Using Improved Machine Learning Algorithm-Reference-Cited by-同舟云学术

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Blood Cancer Detection Using Improved Machine Learning Algorithm

Published:2023-08-10 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Circuit Power and Computing Technologies (ICCPCT)
language:
Short-container-title:

Author:

Dharani N. P.¹,Sujatha G.²,Rani R.³

Affiliation:

1. Mohan Babu University,Department of Electronics and Communication Engineering,Tirupati,A.P,India

2. Sri Venkateswara College of Engineering (SVCE),Department of Electronics and Communication Engineering,Tirupati,A.P,India

3. VEMU Institute of Technology,Department of Electronics and Communication Engineering,A.P,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244767/10244778/10245375.pdf?arnumber=10245375

Reference17 articles.

1. Detection of White Blood Cell Cancer using Deep Learning using Cmyk-Moment Localisation for Information Retrieval

2. Automated Detection of B Cell and T Cell Acute Lymphoblastic Leukaemia Using Deep Learning

3. LeuF eatx: Deep learning-based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear;khanna;Computers in Biology and Medicine,2022

4. Bayesian Convolutional Neural Network-based Models for Diagnosis of Blood Cancer

5. A content-based image retrieval system for the diagnosis of lymphoma using blood micrographs: An incorporation of deep learning with a traditional learning approach;ameer;Computers in Biology and Medicine,2022

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