Microscopic handcrafted features selection from computed tomography scans for <scp>early stage</scp> lungs cancer diagnosis using hybrid classifiers-Reference-Cited by-同舟云学术

Microscopic handcrafted features selection from computed tomography scans for early stage lungs cancer diagnosis using hybrid classifiers

Published:2022-02-04 Issue:6 Volume:85 Page:2181-2191
ISSN:1059-910X
Container-title:Microscopy Research and Technique
language:en
Short-container-title:Microscopy Res & Technique

Author:

Alyami Jabar¹²,Khan Amjad Rehman³,Bahaj Saeed Ali⁴,Fati Suliman Mohamed³

Affiliation:

1. Department of Diagnostic Radiology, Faculty of Applied Medical Sciences King Abdulaziz University Jeddah Saudi Arabia

2. Imaging Unit, King Fahd Medical Research Center King Abdulaziz University Jeddah Saudi Arabia

3. Artificial Intelligence & Data Analytics Lab CCIS Prince Sultan University Riyadh Riyadh Saudi Arabia

4. MIS Department College of Business Administration Prince Sattam bin Abdulaziz University Alkharj Saudi Arabia

Funder

Department of Sport and Recreation, Government of Western Australia

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jemt.24075

Reference33 articles.

1. Machine aided malaria parasitemia detection in Giemsa-stained thin blood smears

2. Deep learning for lung Cancer detection and classification

3. Dalal N.andTriggs B.(2005).Histograms of oriented gradients for human detection IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) vol.1 pp.886–893.

4. Microscopic abnormality classification of cardiac murmurs using ANFIS and HMM

5. Online Persian/Arabic script classification without contextual information

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adversarial transformer network for classification of lung cancer disease from CT scan images;Biomedical Signal Processing and Control;2023-09