ArticleJournal of healthcare engineering2019
Convolutional Neural Networks for the Segmentation of Microcalcification in Mammography Imaging.
Article in Journal of healthcare engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 64 citations in OpenAlex.
- LightweightUNet: Multimodal Deep Learning with GAN-Augmented Imaging Data for Efficient Breast Cancer Detection.Bioengineering (Basel, Switzerland) · 2025Article
- Reproducibility and Explainability of Deep Learning in Mammography: A Systematic Review of Literature.The Indian journal of radiology & imaging · 2024Review
- A novel approach for segmentation and quantitative analysis of breast calcification in mammograms.Frontiers in oncology · 2024Article
- Deep learning performance for detection and classification of microcalcifications on mammography.European radiology experimental · 2023Article
- A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics.Journal of cancer research and clinical oncology · 2023Review
- Developing the breast cancer risk prediction system using hybrid machine learning algorithms.Journal of education and health promotion · 2022Article
- Article
- Hyperparameter Tuning and Pipeline Optimization via Grid Search Method and Tree-Based AutoML in Breast Cancer Prediction.Journal of personalized medicine · 2021Article
- Computer Vision-Based Microcalcification Detection in Digital Mammograms Using Fully Connected Depthwise Separable Convolutional Neural Network.Sensors (Basel, Switzerland) · 2021Article
- Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review.Journal of healthcare engineering · 2020Review
- Using Convolutional Neural Network with Cheat Sheet and Data Augmentation to Detect Breast Cancer in Mammograms.Computational and mathematical methods in medicine · 2020Article
- Classification of Task-State fMRI Data Based on Circle-EMD and Machine Learning.Computational intelligence and neuroscience · 2020Article
- MDU-Net: A Convolutional Network for Clavicle and Rib Segmentation from a Chest Radiograph.Journal of healthcare engineering · 2020Article
- Automated Breast Cancer Diagnosis Based on Machine Learning Algorithms.Journal of healthcare engineering · 2019Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cluster of microcalcifications can be an early sign of breast cancer. In this paper, we propose a novel approach based on convolutional neural networks for the detection and segmentation of microcalcification clusters. In this work, we used 283 mammograms to train and validate our model, obtaining an accuracy of 99.99% on microcalcification detection and a false positive rate of 0.005%. Our results show how deep learning could be an effective tool to effectively support radiologists during mammograms examination.
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Registered trials
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