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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:

Breast histopathological image analysis using image processing techniques for diagnostic purposes: A methodological review
R Rashmi, Keerthana Prasad, Chethana Babu K. Udupa
Journal of Medical Systems (2021) Vol. 46, Iss. 1
Open Access | Times Cited: 62

Showing 26-50 of 62 citing articles:

Discrimination of Healthy and Cancerous Colon Cells Based on FTIR Spectroscopy and Machine Learning Algorithms
Maria Lasalvia, Crescenzio Gallo, V. Capozzi, et al.
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10325-10325
Open Access | Times Cited: 4
ICMFKC with optimize XGBoost classification for breast cancer image screening and detection
Anu Babu, S. Albert Jerome
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 65469-65496
Closed Access | Times Cited: 1
Enhancing Medical Diagnosis Through Deep Learning and Machine Learning Approaches in Image Analysis
Usman Ahmad Usmani, Ari Happonen, Junzo Watada
Lecture notes in networks and systems (2024), pp. 449-468
Closed Access | Times Cited: 1
Adaptive magnification network for precise tumor analysis in histopathological images
Saeed Iqbal, Adnan N. Qureshi, Khursheed Aurangzeb, et al.
Computers in Human Behavior (2024) Vol. 156, pp. 108222-108222
Closed Access | Times Cited: 1
Classification of healthy and cancerous colon cells by Fourier transform infrared spectroscopy
Maria Lasalvia, V. Capozzi, G. Perna
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 321, pp. 124683-124683
Closed Access | Times Cited: 1
Breast Cancer Categories, Analysis, Detection: Systematic Review for Histopathological Images
Komal S. Gandle, D. B. Kshirsagar
(2024), pp. 1-6
Closed Access | Times Cited: 1
A Semi-Supervised Learning Approach for Tissue Semantic Segmentation in Whole Slide Images
R Rashmi, G. V. S. Sudhamsh, S Girisha
IEEE Access (2024) Vol. 12, pp. 120482-120497
Open Access | Times Cited: 1
Deep learning for breast cancer diagnosis from histopathological images: classification and gene expression: review
Oumeima Thaalbi, Moulay A. Akhloufi
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 1
Expression and clinical significance of SYNE3 in non-small cell lung cancer
Yunxi Wu, Dehe Chen, Yu Luo, et al.
American Journal of Translational Research (2024) Vol. 16, Iss. 9, pp. 4436-4449
Closed Access | Times Cited: 1
Further predictive value of lymphovascular invasion explored via supervised deep learning for lymph node metastases in breast cancer
Jiamei Chen, Yang Yang, Bo Luo, et al.
Human Pathology (2022) Vol. 131, pp. 26-37
Open Access | Times Cited: 6
Computer-Aided Breast Cancer Diagnosis Using Deep Learning: Malignancy Detection and HER2 Scoring
Merna El-Nakeeb, Muhammed Ali, Kareem AbdelHadi, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
Development of Automated Risk Stratification for Sporadic Odontogenic Keratocyst Whole Slide Images with an Attention-Based Image Sequence Analyzer
Samahit Mohanty, Divya Biligere Shivanna, Roopa S. Rao, et al.
Diagnostics (2023) Vol. 13, Iss. 23, pp. 3539-3539
Open Access | Times Cited: 3
HistoML, a markup language for representation and exchange of histopathological features in pathology images
Peiliang Lou, Chunbao Wang, Ruifeng Guo, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 4
Recent advancements of deep learning in detecting breast cancer: a survey
Anjali Gautam
Multimedia Systems (2022) Vol. 29, Iss. 3, pp. 917-943
Closed Access | Times Cited: 4
Diagnosis of breast cancer from histopathological images with deep learning architectures
Emrah Hançer, Abdülhamit Subaşı
Elsevier eBooks (2023), pp. 321-332
Closed Access | Times Cited: 2
Exploring Feature Extraction for Image Segmentation Methods in Critical Tumor Detection
Ramakant Upadhyay, Shreshta Bandhu Rastogi, Deepak Mehta
(2024), pp. 1-6
Closed Access
Evaluative Comparison of Machine Learning Algorithms for Precision Diagnosis in Breast Cancer
Jiarui Li
Highlights in Science Engineering and Technology (2024) Vol. 85, pp. 354-362
Open Access
Graph-Based Analysis of Histopathological Images for Lung Cancer Classification Using GLCM Features and DeepWalk Embeddings
Imam Dad, Jianfeng He, Zulqarnain Baloch
Research Square (Research Square) (2024)
Open Access
Automated Detection of Cell Nuclei in Histopathology Slide Images: A Comprehensive Approach for Diagnostic Support
Mishel Prinson, Finto Raphel
(2024), pp. 1-5
Closed Access
Weakly Supervised Breast Cancer Classification on WSI Using Transformer and Graph Attention Network
Mingze Li, Bingbing Zhang, Jian Sun, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 4
Closed Access
A Robust DL Approach for Detection of Invasive Ductal Carcinoma in Whole Slide Images using DenseNet169
C Menaka, Purushottam Sharma, Preeti Naval, et al.
(2024), pp. 297-301
Closed Access
Empowering Breast Cancer Detection with AI: A Modified Support Vector Machine Approach for Improved Classification Accuracy
Suresh Palarimath, M Pyingkodi, K. Thenmozhi, et al.
(2024), pp. 897-903
Closed Access
Robust ROI Detection in Whole Slide Images Guided by Pathologists’ Viewing Patterns
Fatemeh Ghezloo, Oliver Chang, Stevan R. Knezevich, et al.
Deleted Journal (2024)
Open Access
Enhancing Histopathological Image Analysis: A Study on Effect of Color Normalization and Activation Functions
G. V. S. Sudhamsh, R Rashmi, S Girisha
Communications in computer and information science (2024), pp. 220-232
Closed Access
Enhanced Computer-Aided Digital Imaging Technique for Predictions in Breast Cancer
Sushma Nagdeote, Sapna Prabhu, Jayashri Chaudhari
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) (2024) Vol. 18, Iss. 3, pp. 325-345
Closed Access

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