Microcalcification Discrimination in Mammography Using Deep Convolutional Neural Network: Towards Rapid and Early Breast Cancer Diagnosis

Overview of attention for article published in Frontiers in Public Health, April 2022

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So far, Dimensions has found 10 publications that cite this research output.

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Advancements in Breast Cancer Diagnosis: A Comprehensive Review of Mammography Datasets, Preprocessing and Classification Techniques

Article in Acta Informatica Pragensia (August 2024)

The Effectiveness of Semi-Supervised Learning Techniques in Identifying Calcifications in X-ray Mammography and the Impact of Different Classification Probabilities

Article in Applied Sciences (July 2024)

Enhancing early breast cancer diagnosis through automated microcalcification detection using an optimized ensemble deep learning framework

Article in PeerJ Computer Science (May 2024)

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