Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Classification of breast cancer types, sub-types and grade from histopathological images using deep learning technique
Elbetel Taye Zewdie, Abel Worku Tessema, Gizeaddis Lamesgin Simegn
Health and Technology (2021) Vol. 11, Iss. 6, pp. 1277-1290
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches
Jiadong Zhang, Jiaojiao Wu, Xiang Sean Zhou, et al.
Seminars in Cancer Biology (2023) Vol. 96, pp. 11-25
Closed Access | Times Cited: 44
Unified deep learning models for enhanced lung cancer prediction with ResNet-50–101 and EfficientNet-B3 using DICOM images
Vinod Kumar, Chander Prabha, Preeti Sharma, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 15
The Role of Deep Learning in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review
Mohammad Madani, Mohammad Mahdi Behzadi, Sheida Nabavi
Cancers (2022) Vol. 14, Iss. 21, pp. 5334-5334
Open Access | Times Cited: 50
Adaptive Threshold Learning in Frequency Domain for Classification of Breast Cancer Histopathological Images
Yujian Liu, Xiaozhang Liu, Yuan Qi
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-13
Open Access | Times Cited: 6
Multi-Method Diagnosis of Histopathological Images for Early Detection of Breast Cancer Based on Hybrid and Deep Learning
Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1429-1429
Open Access | Times Cited: 15
Enhancing the Breast Histopathology Image Analysis for Cancer Detection Using Variational Autoencoder
Harsh Vardhan Guleria, Ali Mazhar Luqmani, Harsh Devendra Kothari, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 5, pp. 4244-4244
Open Access | Times Cited: 13
Subtyping breast lesions via collective intelligence based long-tailed recognition in ultrasound
Ruobing Huang, Yinyu Ye, Allan Chang, et al.
Medical Image Analysis (2025), pp. 103548-103548
Closed Access
Multi-class classification of breast cancer abnormality using transfer learning
Neha Rani, Deepak Gupta, Samayveer Singh
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 75085-75100
Closed Access | Times Cited: 3
Efficient Breast Cancer Classification Network with Dual Squeeze and Excitation in Histopathological Images
Md. Mostafa Kamal Sarker, Farhan Akram, Mohammad Alsharid, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 103-103
Open Access | Times Cited: 17
The Role of Artificial Intelligence in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review
Mohammad Madani, Mohammad Mahdi Behzadi, Sheida Nabavi
(2022)
Open Access | Times Cited: 15
Microscopic image analysis in breast cancer detection using ensemble deep learning architectures integrated with web of things
Adlin Sheeba, P. Santhosh Kumar, M. Ramamoorthy, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104048-104048
Closed Access | Times Cited: 14
Efficient Machine Learning and Deep Learning Techniques for Detection of Breast Cancer Tumor
Dlshad Abdalrahman Mahmood, Sadegh Abdullah Aminfar
BioMed Target Journal (2024) Vol. 2, Iss. 1, pp. 1-13
Open Access | Times Cited: 2
Deep learning-based identification of esophageal cancer subtypes through analysis of high-resolution histopathology images
Syed Wajid Aalam, Abdul Basit Ahanger, Tariq Masoodi, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access | Times Cited: 2
Vision transformer-convolution for breast cancer classification using mammography images: A comparative study
Mouhamed Laid Abimouloud, Khaled Bensid, Mohamed Elleuch, et al.
International Journal of Hybrid Intelligent Systems (2024) Vol. 20, Iss. 2, pp. 67-83
Closed Access | Times Cited: 2
PERFORMANCE EVALUATION OF EFFICIENTNETV2 MODELS ON THE CLASSIFICATION OF HISTOPATHOLOGICAL BENIGN BREAST CANCER IMAGES
O. Abioye, Abraham E. Evwiekpaefe, Awujoola J. Awujoola
Science Journal of University of Zakho (2024) Vol. 12, Iss. 2, pp. 208-214
Open Access | Times Cited: 1
Mammography Breast Cancer Classification Using Vision Transformers
Mouhamed Laid Abimouloud, Khaled Bensid, Mohamed Elleuch, et al.
Lecture notes in networks and systems (2024), pp. 452-461
Closed Access | Times Cited: 1
Breast Cancer Diagnosis Using Lightweight Deep Convolution Neural Network Model
Tasleem Kausar, Yun Lu, Adeeba Kausar
IEEE Access (2023) Vol. 11, pp. 124869-124886
Open Access | Times Cited: 3
Unique clusters of patterns of breast cancer survivorship
Hilary I. Okagbue, Pelumi E. Oguntunde, Patience I. Adamu, et al.
Health and Technology (2022) Vol. 12, Iss. 2, pp. 365-384
Closed Access | Times Cited: 5
Molecular-subtype guided automatic invasive breast cancer grading using dynamic contrast-enhanced MRI
Rong Sun, Long Wei, Xuewen Hou, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 242, pp. 107804-107804
Closed Access | Times Cited: 2
Transfer Learning-based CNN Model for the Classification of Breast Cancer from Histopathological Images
A Sumitha, R. S. Rimal Isaac
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access
Deep transfer CNNs models performance evaluation using unbalanced histopathological breast cancer dataset
Saifur Rehman Khan, Asif Raza, Inzamam Shahzad, et al.
Lahore Garrison University Research Journal of Computer Science and Information Technology (2024) Vol. 8, Iss. 1
Open Access
Breast Cancer Detection using Explainable AI and Quantum Neural Network
Saqqiya Waris, Javeria Amin, amina sarwar, et al.
Research Square (Research Square) (2024)
Open Access
Vision Transformer Based Tokenization for Enhanced Breast Cancer Histopathological Images Classification
Mouhamed Laid Abimouloud, Khaled Bensid, Mohamed Elleuch, et al.
IFIP advances in information and communication technology (2024), pp. 255-267
Closed Access
Growth Factor Receptor Implications in Breast Cancer: Prospects for Their Molecular Transactivation in the Future and Obstacles for Target Therapy
Esteban Acosta-Ramos, Mariana Segovia‐Mendoza, J. Alberto Olivares‐Reyes
(2024), pp. 237-301
Closed Access
PathUp: Patch-wise Timestep Tracking for Multi-class Large Pathology Image Synthesising Diffusion Model
Jingxiong Li, Sunyi Zheng, Chenglu Zhu, et al.
(2024), pp. 3984-3993
Closed Access
Page 1 - Next Page

Scroll to top