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March 20, 2024Computación y Sistemas

Lightweight CNN for Detecting Microcalcifications Clusters in Digital Mammograms

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Authors

RLRicardo Salvador Luna-LozoyaHDHumberto de Jesús Ochoa DomínguezHSHumberto Sossa

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Cite This Study

Luna-Lozoya et al. (2024) studied this question.

synapsesocial.com/papers/68e732d9b6db6435876ac8dahttps://doi.org/10.13053/cys-28-1-4892
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Cross-Domain Transfer Learning Architecture for Microcalcification Cluster Detection Using the MEXBreast Multiresolution Mammography Dataset2025 · 2 citations
  2. 2Hybrid Feature Mammogram Analysis: Detecting and Localizing Microcalcifications Combining Gabor, Prewitt, GLCM Features, and Top Hat Filtering Enhanced with CNN Architecture2024 · 10 citations
  3. 3Using deep learning to construct microcalcification clusters in a mammography prediction model2025
  4. 4Weakly-Supervised End-to-End Framework for Pixel-Wise Description of Micro-Calcifications in Full-Resolution Mammograms2024
  5. 5Breast cancer characterization using region-based convolutional neural network with screening and diagnostic mammogram2024 · 1 citations