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:

Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review
Saleem Z. Ramadan
Journal of Healthcare Engineering (2020) Vol. 2020, pp. 1-21
Open Access | Times Cited: 96

Showing 26-50 of 96 citing articles:

Future of biomarker evaluation in the realm of artificial intelligence algorithms: application in improved therapeutic stratification of patients with breast and prostate cancer
Jenny Fitzgerald, Debra F. Higgins, Claudia Mazo, et al.
Journal of Clinical Pathology (2021) Vol. 74, Iss. 7, pp. 429-434
Closed Access | Times Cited: 30
A Diagnostic Model of Breast Cancer Based on Digital Mammogram Images Using Machine Learning Techniques
Farouk Al-Fahaidy, Belal Al-Fuhaidi, Ishaq AL-Darouby, et al.
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 17
An Efficient USE-Net Deep Learning Model for Cancer Detection
Saad Almutairi, S. Manimurugan, Majed Aborokbah, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 9
Using Convolutional Neural Network with Cheat Sheet and Data Augmentation to Detect Breast Cancer in Mammograms
Saleem Z. Ramadan
Computational and Mathematical Methods in Medicine (2020) Vol. 2020, pp. 1-9
Open Access | Times Cited: 26
Classification of Breast Cancer Histopathological Images using DensNet201
Hossena Djouima, Athmane Zitouni, Ahmed Chaouki Megherbi, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 15
Radiomics for Discriminating Benign and Malignant Salivary Gland Tumors; Which Radiomic Feature Categories and MRI Sequences Should Be Used?
Rongli Zhang, Qi Yong H. Ai, Lun M. Wong, et al.
Cancers (2022) Vol. 14, Iss. 23, pp. 5804-5804
Open Access | Times Cited: 15
A comparative performance study of random‐grid model for hyperparameters selection in detection of abnormalities in digital breast images
Olaide N. Oyelade, Absalom E. Ezugwu
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 13
Closed Access | Times Cited: 13
3D bioprinted GelMA platform for the production of lung tumor spheroids
Simona Villata, Marta Canta, Désirée Baruffaldi, et al.
Bioprinting (2023) Vol. 36, pp. e00310-e00310
Open Access | Times Cited: 7
Enhancing Invasive Ductal Carcinoma Detection in Breast Histopathology using Convolutional Neural Networks
Sangeeta Arora, Swati Sharma, Vivek Tomar
(2024) Vol. 90, pp. 452-456
Closed Access | Times Cited: 2
Vaccines in Breast Cancer: Challenges and Breakthroughs
Gul Naz Fatima, Hera Fatma, Shailendra K. Saraf
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2175-2175
Open Access | Times Cited: 6
An In-Depth Review of AI-Based Techniques for Early Diagnosis of Breast Cancer: Evaluation of CAD System Design and Classification Methodologies
Warda M. Shaban, Ahmed A. Abdullah, Eman Ashraf
2022 International Telecommunications Conference (ITC-Egypt) (2023), pp. 322-329
Closed Access | Times Cited: 6
An enhanced multi-scale deep convolutional orchard capsule neural network for multi-modal breast cancer detection
Sangeeta Parshionikar, Debnath Bhattacharyya
Healthcare Analytics (2023) Vol. 5, pp. 100298-100298
Open Access | Times Cited: 5
A Contrast Enhancement Model for X-Ray Mammograms Using Modified Local s-Curve Transformation Based on Multi-Objective Optimization
Hamid El malali, Abdelhadi Assir, Vikrant Bhateja, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 10, pp. 11543-11554
Closed Access | Times Cited: 13
Persistent Homology-Based Machine Learning Method for Filtering and Classifying Mammographic Microcalcification Images in Early Cancer Detection
Aminah Abdul Malek, Mohd Almie Alias, Fatimah Abdul Razak, et al.
Cancers (2023) Vol. 15, Iss. 9, pp. 2606-2606
Open Access | Times Cited: 4
Breast Cancer Screening Using Inverse Modeling of Surface Temperatures and Steady-State Thermal Imaging
Nithya Sritharan, Carlos Gutiérrez, Isaac Perez‐Raya, et al.
Cancers (2024) Vol. 16, Iss. 12, pp. 2264-2264
Open Access | Times Cited: 1
Association Between Radio-pathological Breast Tumor Characteristics and Mammographic Breast Density
Mahnaz Roayaei, Fatemeh Karami, F Bahrami, et al.
Archives of Breast Cancer (2024) Vol. 11, Iss. 3
Open Access | Times Cited: 1
Challenges and Innovations in Breast Cancer Screening in India: A Review of Epidemiological Trends and Diagnostic Strategies
Induni Nayodhara Weerarathna, Anurag Luharia, Ashish Uke, et al.
International Journal of Breast Cancer (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
A Semisupervised Learning Scheme with Self-Paced Learning for Classifying Breast Cancer Histopathological Images
Sarpong Kwadwo Asare, Fei You, Obed Tettey Nartey
Computational Intelligence and Neuroscience (2020) Vol. 2020, pp. 1-16
Open Access | Times Cited: 10
An Efficient Breast Cancer Detection Framework for Medical Diagnosis Applications
Naglaa F. Soliman, Naglaa S. Ali, Mahmoud I. Aly, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 70, Iss. 1, pp. 1315-1334
Open Access | Times Cited: 10
Detection of Breast Cancer Using Machine Learning and Deep Learning Methods
Sweta Bhise, Shrutika Gadekar, Aishwarya Singh Gaur, et al.
2022 3rd International Conference on Intelligent Engineering and Management (ICIEM) (2022), pp. 1-6
Closed Access | Times Cited: 7
Exploring different computational approaches for effective diagnosis of breast cancer
Anuradha., Navneeta Bharadvaja
Progress in Biophysics and Molecular Biology (2022) Vol. 177, pp. 141-150
Closed Access | Times Cited: 7
Review on Computer Aided Breast Cancer Detection and Diagnosis using Machine Learning Methods on Mammogram Image
Girija Kuttan, M. Sudheep Elayidom
Current Medical Imaging Formerly Current Medical Imaging Reviews (2023) Vol. 19, Iss. 12
Closed Access | Times Cited: 3
Early Detection of Breast Cancer using Machine Learning
N. Manjunathan, N. Gomathi, S. Muthulingam
(2023) Vol. 6, pp. 165-169
Closed Access | Times Cited: 3
Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies
Olaide N. Oyelade, Absalom E. Ezugwu, Sunday Adeyemi Adewuyi
Neural Computing and Applications (2021) Vol. 34, Iss. 4, pp. 3053-3078
Open Access | Times Cited: 7
Luminosity Control and Contrast Enhancement of Digital Mammograms Using Combined Application of Adaptive Gamma Correction and DWT-SVD
Dharmendra Kumar, Anil Kumar Solanki, Anil Ahlawat
Journal of Sensors (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 5

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