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Found 5 papers, 5 papers with code
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models
We achieve this by using the natural properties of \emph{hyperbolic geometry} to more efficiently model a hierarchy of symbolic features and generate \emph{hierarchical symbolic rules} as part of our explanations.
Vector Quantisation for Robust Segmentation
The reliability of segmentation models in the medical domain depends on the model's robustness to perturbations in the input space.
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification
To aid radiological reading, we propose an auxiliary task-based multiple instance learning approach (ATMIL) for MM classification with the ability to localize sites of disease.
Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment
The output consisted of a segmented muscle mass on a CT slice at the level of L3 vertebra.
Automatic L3 slice detection in 3D CT images using fully-convolutional networks
The analysis of single CT slices extracted at the third lumbar vertebra (L3) has garnered significant clinical interest in the past few years, in particular in regards to quantifying sarcopenia (muscle loss).
