has been cited by the following article(s):
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[1]
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From awareness to action: Health Belief Model-based educational intervention to improve breast self-examination practice among college teachers in Pakistan (CRCT)
PLOS One,
2026
DOI:10.1371/journal.pone.0341804
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[2]
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A Review on the Applications and Implications of Artificial Intelligence and Machine Learning in Oncology
International Journal of Computational Intelligence Systems,
2026
DOI:10.1007/s44196-026-01164-8
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[3]
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Detecting Breast Cancer: A Comparative Study of Various Machine Learning Models
2024 Parul International Conference on Engineering and Technology (PICET),
2024
DOI:10.1109/PICET60765.2024.10716141
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[4]
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Anatomical Concept-based Pseudo-labels for Increased Generalizability in Breast Cancer Multi-center Data
2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
2024
DOI:10.1109/EMBC53108.2024.10781895
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[5]
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FIRE-Breast: A Firefly Optimization-Driven EfficientNetB0 CNN Model for Optimized Breast Cancer Detection
2024 IEEE 15th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON),
2024
DOI:10.1109/IEMCON62851.2024.11093134
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[6]
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Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems
IFIP Advances in Information and Communication Technology,
2023
DOI:10.1007/978-3-031-39811-7_5
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[7]
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Efficient Tumor Classification using GoogleNet Approach to Increase Accuracy in Comparison with ResNet
2022 3rd International Conference on Intelligent Engineering and Management (ICIEM),
2022
DOI:10.1109/ICIEM54221.2022.9853203
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[8]
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Comparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms
IEEE Access,
2021
DOI:10.1109/ACCESS.2021.3127862
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