OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Deep learning-based active contour technique with bagging and boosting algorithms hybrid approach for detecting bone Cancer from Mri scan images
Ediga Lingappa, L. Rama Parvathy
Multimedia Tools and Applications (2023) Vol. 82, Iss. 23, pp. 36363-36377
Closed Access | Times Cited: 8
Ediga Lingappa, L. Rama Parvathy
Multimedia Tools and Applications (2023) Vol. 82, Iss. 23, pp. 36363-36377
Closed Access | Times Cited: 8
Showing 8 citing articles:
Deep Dive into Bone Tumor Segmentation and Classification: Methodological Review and Challenges with Deep Learning Approaches
R Singh, D Vasumathi
ITM Web of Conferences (2025) Vol. 74, pp. 01006-01006
Open Access
R Singh, D Vasumathi
ITM Web of Conferences (2025) Vol. 74, pp. 01006-01006
Open Access
Supervised Machine Learning Method for Bone Cancer Detection and Classification
Ediga Lingappa, P. Sriramya
Smart innovation, systems and technologies (2025), pp. 19-33
Closed Access
Ediga Lingappa, P. Sriramya
Smart innovation, systems and technologies (2025), pp. 19-33
Closed Access
Deep learning image segmentation approaches for malignant bone lesions: a systematic review and meta-analysis
Joseph M. Rich, Lokesh Bhardwaj, Aman Shah, et al.
Frontiers in Radiology (2023) Vol. 3
Open Access | Times Cited: 4
Joseph M. Rich, Lokesh Bhardwaj, Aman Shah, et al.
Frontiers in Radiology (2023) Vol. 3
Open Access | Times Cited: 4
Comparing Boosting and Bagging Algorithms for Image Classification
Chetan Chaudhary, Arun Kumar Gupta, R. Murugan
(2024), pp. 1-7
Closed Access | Times Cited: 1
Chetan Chaudhary, Arun Kumar Gupta, R. Murugan
(2024), pp. 1-7
Closed Access | Times Cited: 1
An accuracy analysis and prediction of daily workout using smart phone dataset using novel random forest algorithm over linear regression
C. S. Brindha, S. Sivanantham, C. Nataraj, et al.
AIP conference proceedings (2024) Vol. 3161, pp. 020284-020284
Closed Access
C. S. Brindha, S. Sivanantham, C. Nataraj, et al.
AIP conference proceedings (2024) Vol. 3161, pp. 020284-020284
Closed Access
Bone cancer classification and detection using machine learning technique
Pawan Whig, Balaram Yadav Kasula, Nikhitha Yathiraju, et al.
Elsevier eBooks (2024), pp. 65-80
Closed Access
Pawan Whig, Balaram Yadav Kasula, Nikhitha Yathiraju, et al.
Elsevier eBooks (2024), pp. 65-80
Closed Access
A Comprehensive Analysis of Cloud Migration Strategies: Efficiency Comparison of Trickle, Big Bang, Refactoring, Lift and Shift, Replatforming Approaches
L. Rama Parvathy
2022 8th International Conference on Smart Structures and Systems (ICSSS) (2023), pp. 1-7
Closed Access
L. Rama Parvathy
2022 8th International Conference on Smart Structures and Systems (ICSSS) (2023), pp. 1-7
Closed Access
A Novel Method for Automatic Payment of Car Parking Charges with Random Forest and Comparison over Naïve-Bayes Classification
S. Surya, S. Sivanantham
(2023), pp. 1-5
Closed Access
S. Surya, S. Sivanantham
(2023), pp. 1-5
Closed Access
