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Automatic Leukaemia Segmentation Approach for Blood Cancer Classification Using Microscopic Images

  • Published:2022 Issue:2 Volume:73 Page:3629-3648
  • ISSN:1546-2226
  • Container-title:Computers, Materials & Continua
  • language:en
  • Short-container-title:

Author:

Sharma Anuj,Prashar Deepak,Ahmad Khan Arfat,Ahmed Khan Faizan,Poochaya Settawit

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference59 articles.

1. Acute lymphoblastic leukemia segmentation using local pixel information;Jaboriy;Pattern Recognition Letters,2019

2. Detection of acute lymphoblastic leukemia using image segmentation and data mining algorithms;Acharya;Medical & Biological Engineering & Computing,2019

3. A cost-efficient environment monitoring robotic vehicle for smart industries;Khan;Computers, Materials & Continua,2022

4. A cost-efficient radiation monitoring system for nuclear sites: Designing and implementation;Khan;Intelligent Automation & Soft Computing,2022

5. Acute lymphoblastic leukemia cell detection in microscopic digital images based on shape and texture features;Tuba,2019

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1. Blood cell image segmentation and classification: a systematic review;PeerJ Computer Science;2024-02-02

2. Deep U_ClusterNet: automatic deep clustering based segmentation and robust cell size determination in white blood cell;Multimedia Tools and Applications;2023-08-25

3. An Efficient Detection and Classification of Acute Lymphoblastic Leukemia using CNN models;2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA);2023-06-16

4. Detection of Omicron Caused Pneumonia from Radiology Images Using Convolution Neural Network (CNN);Computers, Materials & Continua;2023

5. A Novel Meta-Heuristic Optimization Algorithm in White Blood Cells燙lassification;Computers, Materials & Continua;2023
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