Machine Learning Classification of Breast Density from Bioimpedance Signals...Studies in Health Technology & Informatics (Full length Proceedings). TU Info: 24th International Conference of Informatics, Management and Technology in Healthcare (ICIMTH), July 3-5, 2026, Athens, Greece

Breast density is a key breast cancer risk factor. It is traditionally assessed via mammography, but existing limitations invite alternative approaches. This pilot study evaluated the feasibility of machine learning-based breast density classification from Time-Domain Bioimpedance Sensing (TD-BIS) s...

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Publicado en:Studies in Health Technology & Informatics Vol. 338; pp. 269 - 271
Autores principales: THOMPSON, Christopher, GOLDFINGER, Marc, FERNANDEZ-VARGAS, Jacobo
Formato: proceedings research tables/charts Journal Article
Publicado: Sage Publications Inc. 2026
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Machine Learning Classification of Breast Density from Bioimpedance Signals...Studies in Health Technology & Informatics (Full length Proceedings). TU Info: 24th International Conference of Informatics, Management and Technology in Healthcare (ICIMTH), July 3-5, 2026, Athens, Greece
      aug:
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          THOMPSON, Christopher
          GOLDFINGER, Marc
          FERNANDEZ-VARGAS, Jacobo
        affil: Zedsen Limited
      sug:
        subj:
          Machine Learning
          Classification Algorithms
          Breast Tissue Density Analysis
          Breast Neoplasms Risk Factors
          Risk Assessment
          Electric Impedance
          Congresses and Conferences Greece
          Greece
          Human
          England
          Female
          Pilot Studies
          Software
          Hospitals, Public
          Time Series
          Random Forest
          Mammography
          Consensus
          Breast Neoplasms Diagnosis
          Paired T-Tests
          Female
      ab: Breast density is a key breast cancer risk factor. It is traditionally assessed via mammography, but existing limitations invite alternative approaches. This pilot study evaluated the feasibility of machine learning-based breast density classification from Time-Domain Bioimpedance Sensing (TD-BIS) signals.
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      doctype:
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        research
        tables/charts
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      ougenre: Article
    language: English
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