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:
Design Guidelines for Mammogram-Based Computer-Aided Systems Using Deep Learning Techniques
Farnoosh Azour, Azzedine Boukerche
IEEE Access (2022) Vol. 10, pp. 21701-21726
Open Access | Times Cited: 15
Farnoosh Azour, Azzedine Boukerche
IEEE Access (2022) Vol. 10, pp. 21701-21726
Open Access | Times Cited: 15
Showing 15 citing articles:
An Efficient Transfer and Ensemble Learning Based Computer Aided Breast Abnormality Diagnosis System
Farnoosh Azour, Azzedine Boukerche
IEEE Access (2022) Vol. 11, pp. 21199-21209
Open Access | Times Cited: 19
Farnoosh Azour, Azzedine Boukerche
IEEE Access (2022) Vol. 11, pp. 21199-21209
Open Access | Times Cited: 19
A Review on Computational Methods for Breast Cancer Detection in Ultrasound Images Using Multi-Image Modalities
Sushi Sushanki, Ashish Kumar Bhandari, Amit Kumar Singh
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 3, pp. 1277-1296
Closed Access | Times Cited: 10
Sushi Sushanki, Ashish Kumar Bhandari, Amit Kumar Singh
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 3, pp. 1277-1296
Closed Access | Times Cited: 10
Computational model for breast cancer diagnosis using HFSE framework
Deepa Kumari, Pavan Kumar Reddy Yannam, Isha Nilesh Gohel, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105121-105121
Closed Access | Times Cited: 9
Deepa Kumari, Pavan Kumar Reddy Yannam, Isha Nilesh Gohel, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105121-105121
Closed Access | Times Cited: 9
The Usefulness of Gradient-Weighted CAM in Assisting Medical Diagnoses
Jong-Chih Chien, Jiann-Der Lee, Ching-Shu Hu, et al.
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7748-7748
Open Access | Times Cited: 15
Jong-Chih Chien, Jiann-Der Lee, Ching-Shu Hu, et al.
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7748-7748
Open Access | Times Cited: 15
An exact segmentation of affected part in breast cancer using spider monkey optimization and recurrent neural network
M.S.R. Naidu, B. Anilkumar, Dasari Yugandhar
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 62773-62791
Closed Access | Times Cited: 2
M.S.R. Naidu, B. Anilkumar, Dasari Yugandhar
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 62773-62791
Closed Access | Times Cited: 2
Attention-Based Feature Fusion With External Attention Transformers for Breast Cancer Histopathology Analysis
K. Vanitha, A. Manimaran, K Chokkanathan, et al.
IEEE Access (2024) Vol. 12, pp. 126296-126312
Open Access | Times Cited: 1
K. Vanitha, A. Manimaran, K Chokkanathan, et al.
IEEE Access (2024) Vol. 12, pp. 126296-126312
Open Access | Times Cited: 1
Convolutional Neural Networks and Feature-Visualization for Pathology Classification in Mammograms
Agustín Amalfitano, Diego S. Comas, Gustavo J. Meschino, et al.
IFMBE proceedings (2024), pp. 438-446
Closed Access
Agustín Amalfitano, Diego S. Comas, Gustavo J. Meschino, et al.
IFMBE proceedings (2024), pp. 438-446
Closed Access
Breast Cancer Detection using RF Resonator in 5G Communication
K Indhumathi, S.Sujitha Jeyarani, S. Shalini
(2024), pp. 618-626
Closed Access
K Indhumathi, S.Sujitha Jeyarani, S. Shalini
(2024), pp. 618-626
Closed Access
Breast Cancer Detection Using Neural Networks
J. Preethi, Rahul Chiranjeevi, Dhanya Lakshmi. A, et al.
(2024), pp. 1-4
Closed Access
J. Preethi, Rahul Chiranjeevi, Dhanya Lakshmi. A, et al.
(2024), pp. 1-4
Closed Access
Enhancing Interpretability in Mammography Pathology Detection Using Deep Convolutional Features and Self-Organizing Maps
Agustín Amalfitano, D. Comas, Gustavo J. Meschino, et al.
IFMBE proceedings (2024), pp. 599-611
Closed Access
Agustín Amalfitano, D. Comas, Gustavo J. Meschino, et al.
IFMBE proceedings (2024), pp. 599-611
Closed Access
Influence of Convolutional Neural Network Depth on the Efficacy of Automated Breast Cancer Screening Systems
Vineela Nalla, Seyedamin Pouriyeh, Reza M. Parizi, et al.
2022 IEEE Symposium on Computers and Communications (ISCC) (2023), pp. 1-4
Closed Access | Times Cited: 1
Vineela Nalla, Seyedamin Pouriyeh, Reza M. Parizi, et al.
2022 IEEE Symposium on Computers and Communications (ISCC) (2023), pp. 1-4
Closed Access | Times Cited: 1
Scale Invariant Deep Neural Multiple Feature Learning Based Boosted Support Vector Entropy Classification for Breast Cancer Diagnosis using Mammograms
Sai Krishna K, Grace Kanmani Prince P
International Journal of Electrical and Electronics Engineering (2023) Vol. 10, Iss. 8, pp. 79-88
Open Access | Times Cited: 1
Sai Krishna K, Grace Kanmani Prince P
International Journal of Electrical and Electronics Engineering (2023) Vol. 10, Iss. 8, pp. 79-88
Open Access | Times Cited: 1
The Design of Educational Guide System Based on Children's Psychology
Na Wei
Frontiers in Educational Psychology (2023) Vol. 4, Iss. 1
Open Access
Na Wei
Frontiers in Educational Psychology (2023) Vol. 4, Iss. 1
Open Access
A novel two-stage deep learning model used to assist in diagnosing neonatal necrotizing enterocolitis and determining the need for surgical treatment
Guoqiang Qi, Jian Ding, Jing Li, et al.
Research Square (Research Square) (2023)
Open Access
Guoqiang Qi, Jian Ding, Jing Li, et al.
Research Square (Research Square) (2023)
Open Access
