ABA

Agile Bio-inspired Architectures (ABA) is a cutting-edge research initiative focused on leveraging deep learning to enhance the medical 3D image recognition of colorectal cancer.

Project Goals

The primary objective of ABA is to improve the identification and analysis of colorectal cancer structures, enabling more precise stratification of patients for personalized treatment plans. By integrating 3D medical imaging with advanced AI applications, the project seeks to develop rapid and robust cancer classification systems. These innovations aim to empower physicians with tailored therapy recommendations, leading to more effective patient care.

GWDG’s Role in the project

The GWDG plays a pivotal role in the ABA project, contributing expertise in data storage and medical image recognition. Additionally, the organization is responsible for developing new deep learning models to process and analyze medical imaging data. One significant challenge faced in the project is the limited availability of datasets, which necessitates the creation of novel algorithms optimized for small datasets. These specialized algorithms are being developed to ensure high performance and reliability, even with constrained data resources.

Project Partners

University Medical Center Göttingen