Weakly-Supervised Learning

Learn to Recognize

Detection, Classification, Segmentation, Anomaly Detection, Semi-/Weakly-Supervised Learning

Benefit of dual energy CT for lesion localization and classification with convolutional neural networks

Dual Energy CT is a modern imaging technique that is utilized in clinical practice to acquire spectral information for various diagnostic purposes including the identification, classification, and characterization of different liver lesions. It …

Liver lesion localisation and classification with convolutional neural networks: a comparison between conventional and spectral computed tomography

Learn to Segment Organs with a Few Bounding Boxes

Semantic segmentation is an import task in the medical field to identify the exact extent and orientation of significant structures like organs and pathology. Deep neural networks can perform this task well by leveraging the information from a large …

Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification

We demonstrate the feasibility of a fully automatic computer-aided diagnosis (CAD) tool, based on deep learning, that localizes and classifies proximal femur fractures on X-ray images according to the AO classification. The proposed framework aims to …

Weakly-supervised localization and classification of proximal femur fractures