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:
Revolutionizing Breast Cancer Diagnosis: A Concatenated Precision through Transfer Learning in Histopathological Data Analysis
Dhayanithi Jaganathan, Sathiyabhama Balasubramaniam, Vidhushavarshini Sureshkumar, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 422-422
Open Access | Times Cited: 6
Dhayanithi Jaganathan, Sathiyabhama Balasubramaniam, Vidhushavarshini Sureshkumar, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 422-422
Open Access | Times Cited: 6
Showing 6 citing articles:
Breast Cancer Detection and Analytics Using Hybrid CNN and Extreme Learning Machine
Vidhushavarshini Sureshkumar, Rubesh Sharma Navani Prasad, Sathiyabhama Balasubramaniam, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 8, pp. 792-792
Open Access | Times Cited: 8
Vidhushavarshini Sureshkumar, Rubesh Sharma Navani Prasad, Sathiyabhama Balasubramaniam, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 8, pp. 792-792
Open Access | Times Cited: 8
Multistage transfer learning for medical images
Gelan Ayana, Kokeb Dese, Ahmed Mohammed Abagaro, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 5
Gelan Ayana, Kokeb Dese, Ahmed Mohammed Abagaro, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 5
Advancing Breast Cancer Diagnosis: Integrating Deep Transfer Learning and U-Net Segmentation for Precise Classification and Delineation of Ultrasound Images
Divine Senanu Ametefe, Dah John, Abdulmalik Adozuka Aliu, et al.
Results in Engineering (2025), pp. 105047-105047
Open Access
Divine Senanu Ametefe, Dah John, Abdulmalik Adozuka Aliu, et al.
Results in Engineering (2025), pp. 105047-105047
Open Access
Enhancing Medical Image Quality Using Fractional Order Denoising Integrated with Transfer Learning
A. Abirami, Vidhushavarshini Sureshkumar, Dhayanithi Jaganathan, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 9, pp. 511-511
Open Access | Times Cited: 2
A. Abirami, Vidhushavarshini Sureshkumar, Dhayanithi Jaganathan, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 9, pp. 511-511
Open Access | Times Cited: 2
Enhancing Breast Cancer Detection in Ultrasound Images: An Innovative Approach Using Progressive Fine‐Tuning of Vision Transformer Models
Meshrif Alruily, Alshimaa Abdelraof Mahmoud, Hisham Allahem, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access
Meshrif Alruily, Alshimaa Abdelraof Mahmoud, Hisham Allahem, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access
Machine learning and pathology: a historical perspective
Sheetal Malpani, Romy Paz, Yasamin Mirzabeigi, et al.
Elsevier eBooks (2024), pp. 35-75
Closed Access
Sheetal Malpani, Romy Paz, Yasamin Mirzabeigi, et al.
Elsevier eBooks (2024), pp. 35-75
Closed Access
Integrating Machine Learning to Customize Chemotherapy for Oral Cancer Patients
Saraswati Patel, Divya Yadav, Dheeraj Kumar
Oral Oncology Reports (2024), pp. 100711-100711
Open Access
Saraswati Patel, Divya Yadav, Dheeraj Kumar
Oral Oncology Reports (2024), pp. 100711-100711
Open Access
