Open Access Helper

OpenAlex Citation Counts

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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:

Breast Cancer Detection and Classification Empowered With Transfer Learning
Sahar Arooj, Atta Rahman, Muhammad Zubair, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 59

Showing 26-50 of 59 citing articles:

A depth analysis of recent innovations in non-invasive techniques using artificial intelligence approach for cancer prediction
Hari Mohan, Joon Yoo, Abdul Razaque
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 12, pp. 3555-3580
Closed Access | Times Cited: 1
Optimization of Support Vector Machine and XGBoost Methods Using Feature Selection to Improve Classification Performance
Doni Andriansyah, Eka Wulansari Fridayanthie
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING (2023) Vol. 6, Iss. 2, pp. 484-493
Open Access | Times Cited: 3
Diabetes Prediction Empowered with Multi-level Data Fusion and Machine Learning
Ghofran Bassam, Amina Rouai, Reyaz Ahmad, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 10
Open Access | Times Cited: 3
Biomedical Diagnosis of Breast Cancer Using Deep Learning and Multiple Classifiers
Ahmed A. Alsheikhy, Yahia Said, Tawfeeq Shawly, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2863-2863
Open Access | Times Cited: 5
Deep Transfer Learning Optimization Techniques for Medical Image Classifcation - A Survey
Paul Kariuki, Patrick Kinyua Gikunda, John M. Wandeto
(2023)
Open Access | Times Cited: 2
Deep Transfer Learning Optimization Techniques for Medical Image Classification: A Review
Paul Kariuki, Patrick Kinyua Gikunda, John M. Wandeto
(2023) Vol. 31, pp. 7-15
Open Access | Times Cited: 2
A Metaheuristic based Clustering Approach for Breast Cancer Identification for Earlier Diagnosis
S. Balaji, T. Arunprasath, M. Pallikonda Rajasekaran, et al.
(2023), pp. 01-07
Closed Access | Times Cited: 2
A Comprehensive Investigation into the Application of Convolutional Neural Networks (ConvNet/CNN) in Smart Grids
Rituraj Rituraj, Diana Ecker
(2022), pp. 000359-000368
Open Access | Times Cited: 4
Enhancing Breast Cancer Data Classification Performance in Medical Data by Employing GRU-LMA Deep Learning Classifier for Accurate Diagnosis
Sarath Chandar, V. Krishnapriya
Indian Journal of Science and Technology (2024) Vol. 16, Iss. 47, pp. 4490-4503
Open Access
Deep Transfer Learning for Automated Breast Cancer Screening
Poonam Gupta, Aaditya Jain, T Thiruvenkadam
(2024), pp. 1-6
Closed Access
Design of integrated interactive system for pre-diagnosis of breast cancer pathological images based on CNN and PyQt5
Yunkai Yang, Qijia Yang, Weifeng Liu, et al.
Multimedia Systems (2024) Vol. 30, Iss. 2
Closed Access
An Efficient Cancer Detection Model Using ML and Transfer Learning Techniques
Raja Rao PBV, M. H. M. Krishna Prasad, Pokkuluri Kiran Sree, et al.
(2024), pp. 1-6
Closed Access
Breast Cancer Examination in Digitized Mammograms using Integrated K-Means Clustering with Garbor Filter and Shrunk Kernel KNN Method
V. Sridevi
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 23, pp. 2444-2454
Open Access
Optimizing Foundation Models for Histopathology: A Continual Learning Approach to Cancer Detection
Ankur Yadav, Ovidiu Daescu
Lecture notes in computer science (2024), pp. 145-156
Closed Access
Learning Disability Detection and Classification Analysis Between Two Classification Algorithms
Darwin Roach D, Pearly Princess. J, V. Vijula, et al.
(2024), pp. 1016-1020
Closed Access
Об эффективности применения визуальных трансформеров в обнаружении аномалий гистопатологических изображений
Eugene Yu. Shchetinin
Matematicheskoe modelirovanie (2024) Vol. 36, Iss. 5, pp. 73-87
Closed Access
Research advances in tumor diagnosis and early detection
Rodney Bradly
Asia-Pacific Journal of Oncology (2024), pp. 55-65
Open Access
An optimal deep learning approach for breast cancer detection and classification with pre-trained CNN-based feature learning mechanism
Mohammed Rashiku B C, P. M. Joe Prathap
Journal of Biomolecular Structure and Dynamics (2024), pp. 1-16
Closed Access
Deep learning-driven multi-omics sequential diagnosis with Hybrid-OmniSeq: Unraveling breast cancer complexity
N. Banupriya, T. Sethukarasi
Technology and Health Care (2024)
Closed Access
Beyond binary: multi-class skin lesion classification with AlexNet transfer learning-towards enhanced dermatological diagnosis
Abida Noaman, R. Badlishah Ahmad, Muhammad Farhan Khan, et al.
Deleted Journal (2024) Vol. 7, Iss. 1
Open Access
Comparative Analysis of Data Preprocessing Methods in Machine Learning for Breast Cancer Classification
T. Stockton, Brandon Peddle, Angelica Gaulin, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 268-279
Closed Access
PTC-CapsNet: capsule network for papillary thyroid carcinoma pathological images classification
Bing Han, Yiyuan Han, Haoran Li, et al.
Multimedia Tools and Applications (2024)
Closed Access
Predicting Global Energy Consumption Through Data Mining Techniques
Atta Rahman, Hussam Khalid Abahussin, Mohammed Alghamdi, et al.
International Journal of Design & Nature and Ecodynamics (2024) Vol. 19, Iss. 2, pp. 397-406
Open Access
A survey of artificial intelligence-assisted analysis of breast ultrasoundimages classification: Research progress and future directions
Ying Wu, Faming Li, Bo Xu, et al.
(2024), pp. 1-6
Closed Access
Classification of Potential Breast/Colorectal Cancer Cases Using Machine Learning Methods
Maryam Jafarpour, Ali Moeini, Niloofar Maryami, et al.
International Journal of Cancer Management (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 1

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