AI-Powered Multimodal Breast Cancer Analysis

An AI-driven decision support platform combining medical imaging, histopathology and molecular biomarkers to assist breast cancer diagnosis and molecular subtype prediction.

Multimodal AI for Breast Cancer Decision Support

The project integrates medical imaging and molecular data to help specialists evaluate suspicious lesions and improve breast cancer classification.

Mammography Analysis

AI-assisted analysis of mammography images used in the initial stages of breast cancer assessment.

Ultrasound Analysis

Integration of ultrasound imaging to provide additional structural information about suspicious breast lesions.

Molecular Biomarkers

Integrate gene-expression and molecular biomarker data to support molecular subtype prediction.

MRI Analysis

Use of morphological and functional lesion information from MRI to enrich diagnostic assessment.

Multimodal AI

Bring all data sources together within a unified AI model for more comprehensive decision support.

Histopathological Data

Combine pathology findings with imaging data to improve breast cancer characterization.