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:

Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review
Yuliana Jiménez-Gaona, María José Rodríguez-Álvarez, Vasudevan Lakshminarayanan
Applied Sciences (2020) Vol. 10, Iss. 22, pp. 8298-8298
Open Access | Times Cited: 67

Showing 51-75 of 67 citing articles:

Review of AI & XAI-based breast cancer diagnosis methods using various imaging modalities
R. Karthiga, K. Narasimhan, V. Thanikaiselvan, et al.
Multimedia Tools and Applications (2024)
Closed Access
EAH-Net: A Novel Ensemble Attention-Based Hybrid Architecture for Breast Cancer Diagnosis Utilizing Ultrasound Images
Md. Zahid Hasan, Shahed Hossain, Risul Islam Jim, et al.
(2024), pp. 26-34
Open Access
Machine learning applications in breast cancer prediction using mammography
Harshvardhan GM, Kei Mori, Sarika Verma, et al.
Image and Vision Computing (2024) Vol. 152, pp. 105338-105338
Closed Access
Optimal deep transfer learning driven computer‐aided breast cancer classification using ultrasound images
Mahmoud Ragab, Alaa O. Khadidos, Abdulrhman M. Alshareef, et al.
Expert Systems (2023) Vol. 41, Iss. 4
Closed Access | Times Cited: 1
Breast Cancer Detection System using Deep Learning Based on Fusion Features and Statistical Operations
Suleyman Al-Showarah
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 11
Open Access | Times Cited: 1
Breast Cancer Prediction Using a Deep Learning Algorithm on the Cloud Medical Data
C. Tamilselvi, M. Sindhuja, S. Hemamalini, et al.
(2023), pp. 414-419
Closed Access | Times Cited: 1
A diagnostic system for classifying and segmenting breast cancer based on ultrasound images
Haifa Ghabrim, Chaker Essid, Hèdi Sakli
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) (2023), pp. 919-924
Closed Access | Times Cited: 1
Diagnostic Value of Knee Osteoarthritis Through Self-learning
Darwin Castillo, Joseph Humberto Cueva, Patricia Díaz, et al.
Lecture notes in networks and systems (2022), pp. 239-249
Closed Access | Times Cited: 2
BreastUS: Vision Transformer for Breast Cancer Classification Using Breast Ultrasound Images
Muhammad Saad, Mohib Ullah, Hina Afridi, et al.
(2022), pp. 246-253
Closed Access | Times Cited: 2
Vigilance towards the use of artificial intelligence applications for breast cancer screening and early diagnosis
Younes El Ouahabi, My Hachem El Yousfi Alaoui, Benayad Nsiri, et al.
E3S Web of Conferences (2021) Vol. 319, pp. 01099-01099
Open Access | Times Cited: 1
The handbook of medical image perception and techniques, 2nd edition
Vasudevan Lakshminarayanan
Contemporary Physics (2021) Vol. 62, Iss. 2, pp. 113-114
Closed Access | Times Cited: 1
A Preliminary Study of Convolutional Neural Network Architectures for Breast Cancer Image Classification
Siti Shaliza Mohd Khairi, Mohd Aftar Abu Bakar, Mohd Almie Alias, et al.
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (2021) Vol. 545, pp. 1-5
Closed Access | Times Cited: 1
Derin Öğrenme Yardımıyla Aktif Termogramlar Üzerinden Meme Lezyonlarının Sınıflandırması
Soner ÇİVİLİBAL, Kerim Kürşat Çevi̇k, Ahmet Bozkurt
Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi (2023) Vol. 18, Iss. 2, pp. 140-156
Open Access
Deep Learning and Genetic Algorithm-Based Ensemble Model for Feature Selection and Classification of Ultrasound Images
Mohsin Furkh Dar, Avatharam Ganivada
(2023)
Closed Access
Meme Kanseri Sınıflandırması İçin Yeni Bir Yöntem: Ultrason Görüntülerinde Sinyal İşleme Temelli Bir Yaklaşım
Şerife Gengeç Benli, Zeynep Ak
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi (2023) Vol. 10, Iss. 21, pp. 299-306
Open Access
Implementation of a Method Using Image Sequentialization, Patch Embedding and ViT Encoder to Detect the Breast Cancer on RGBA Images and Binary Masks
Tanishka Dixit, Namrata Singh, Geetika Srivastava, et al.
Communications in computer and information science (2022), pp. 569-592
Closed Access
Estimation of Breast Cancer with a Combined Feature Selection Algorithm
K. Geetha
Journal of Innovative Image Processing (2022) Vol. 4, Iss. 3, pp. 206-214
Open Access
Applying Transfer Learning Using DenseNet121 in Radiographic Image Classification
Yosser Mohammad Marwan Atassi Nahla Saeed Saad Aldeen Nahla Saeed Saad Aldeen
مجلة العلوم الهندسية و تكنولوجيا المعلومات (2021) Vol. 5, Iss. 4, pp. 58-41
Open Access
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