Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation

Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation

<p dir="ltr">The ability to predict breast cancer metastases is essential for making effective clinical decisions and managing patients. Traditional models predominantly rely on structured clinical data, which often lacks essential contextual details, limiting their predictive accura...

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Bibliographic Details
Main Author: Faseela Abdullakutty (22564814) (author)
Other Authors: Younes Akbari (16303286) (author), Somaya Al-Maadeed (5178131) (author), Ahmed Bouridane (2270131) (author), Rifat Rifat Hamoudi (22564817) (author)
Published: 2025
Subjects:
Biomedical and clinical sciences
Oncology and carcinogenesis
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Machine learning
Breast cancer metastasis
Synthetic data generation
Multi-modality
Multi Co-Guided Attention (MCGA)
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