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:
Enhancing breast cancer segmentation and classification: An Ensemble Deep Convolutional Neural Network and U-net approach on ultrasound images
Md. Rakibul Islam, Md Mahbubur Rahman, Md Shahin Ali, et al.
Machine Learning with Applications (2024) Vol. 16, pp. 100555-100555
Open Access | Times Cited: 14
Md. Rakibul Islam, Md Mahbubur Rahman, Md Shahin Ali, et al.
Machine Learning with Applications (2024) Vol. 16, pp. 100555-100555
Open Access | Times Cited: 14
Showing 14 citing articles:
Deep Learning in Oncology: Transforming Cancer Diagnosis, Prognosis, and Treatment
Thaís Santos Anjo Reis
Emerging Trends in Drugs Addictions and Health (2025), pp. 100171-100171
Open Access
Thaís Santos Anjo Reis
Emerging Trends in Drugs Addictions and Health (2025), pp. 100171-100171
Open Access
A Combined Segmentation and Classification Pipeline for Breast Tumors Analysis on Ultrasound Image
Cong Thanh Nguyen, Huynh Quang Linh
Journal of Physics Conference Series (2025) Vol. 2949, Iss. 1, pp. 012003-012003
Open Access
Cong Thanh Nguyen, Huynh Quang Linh
Journal of Physics Conference Series (2025) Vol. 2949, Iss. 1, pp. 012003-012003
Open Access
Improving breast cancer classification in fine-grain ultrasound images through feature discrimination and a transfer learning approach
Fatemeh Taheri, Kambiz Rahbar
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107690-107690
Closed Access
Fatemeh Taheri, Kambiz Rahbar
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107690-107690
Closed Access
Bilateral-Aware and Multi-Scale Region Guided U-Net for precise breast lesion segmentation in ultrasound images
Yangyang Li, Xintong Hou, Xuanting Hao, et al.
Neurocomputing (2025), pp. 129775-129775
Closed Access
Yangyang Li, Xintong Hou, Xuanting Hao, et al.
Neurocomputing (2025), pp. 129775-129775
Closed Access
Integrating sparse graph convolution and capsule networks for superior breast cancer diagnosis
P. Manju Bala, U. Palani
Evolving Systems (2025) Vol. 16, Iss. 2
Closed Access
P. Manju Bala, U. Palani
Evolving Systems (2025) Vol. 16, Iss. 2
Closed Access
Advanced Breast Cancer Prediction Using Deep Neural Networks Integrated with Ensemble Models
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
Chemometrics and Intelligent Laboratory Systems (2025), pp. 105399-105399
Closed Access
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
Chemometrics and Intelligent Laboratory Systems (2025), pp. 105399-105399
Closed Access
A Dirichlet Distribution-Based Complex Ensemble Approach for Breast Cancer Classification from Ultrasound Images with Transfer Learning and Multiphase Spaced Repetition Method
Osman Güler
Deleted Journal (2025)
Closed Access
Osman Güler
Deleted Journal (2025)
Closed Access
Revolutionizing Breast Cancer Detection with Cutting-Edge Convolutional Neural Networks
S Rajasekar, A. N. Arularasan, K. Balasubramanian, et al.
Lecture notes in networks and systems (2025), pp. 543-550
Closed Access
S Rajasekar, A. N. Arularasan, K. Balasubramanian, et al.
Lecture notes in networks and systems (2025), pp. 543-550
Closed Access
A chaotic partial centroid opposition-based Gorilla Troops Optimizer approach for solving breast DCE MRI registration problem for breast tumor progression
Somen Nayak, Achyuth Sarkar
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107903-107903
Closed Access
Somen Nayak, Achyuth Sarkar
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107903-107903
Closed Access
UCapsNet: A Two-Stage Deep Learning Model Using U-Net and Capsule Network for Breast Cancer Segmentation and Classification in Ultrasound Imaging
G. Madhu, Avinash Meher Bonasi, Sandeep Kautish, et al.
Cancers (2024) Vol. 16, Iss. 22, pp. 3777-3777
Open Access | Times Cited: 1
G. Madhu, Avinash Meher Bonasi, Sandeep Kautish, et al.
Cancers (2024) Vol. 16, Iss. 22, pp. 3777-3777
Open Access | Times Cited: 1
Research on insulator image segmentation and defect recognition technology based on U‐Net and YOLOv7
Jiawen Chen, Chao Cai, Fangbin Yan, et al.
Concurrency and Computation Practice and Experience (2024) Vol. 36, Iss. 25
Closed Access
Jiawen Chen, Chao Cai, Fangbin Yan, et al.
Concurrency and Computation Practice and Experience (2024) Vol. 36, Iss. 25
Closed Access
Identification of Lesions on Breast Based on Breast Ultrasonography Images Using Segmentation Method
Silfia Andini, Sumijan Sumijan, Iskandar Fitri
(2024), pp. 486-492
Closed Access
Silfia Andini, Sumijan Sumijan, Iskandar Fitri
(2024), pp. 486-492
Closed Access
Explainability in AI-Based Applications – A Framework for Comparing Different Techniques
Arne Grobrügge, Nidhi Mishra, Johannes Jakubik, et al.
(2024), pp. 70-79
Open Access
Arne Grobrügge, Nidhi Mishra, Johannes Jakubik, et al.
(2024), pp. 70-79
Open Access
Cancer Region Segmentation in Pre-Processed Breast Ultrasound Image Using VGG16 Based UNet/SegNet
Ramya Mohan, Mathiyazhagan Narayanan, V. Rajinikanth
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2024), pp. 1-6
Closed Access
Ramya Mohan, Mathiyazhagan Narayanan, V. Rajinikanth
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2024), pp. 1-6
Closed Access
