A DINOv2 vision transformer pre-trained on 200M unlabeled CT/MRI slices matches or beats prior foundation models and radiology residents on a new 19-task benchmark.
TorchSurv: A Lightweight Package for Deep Survival Analysis
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TorchSurv is a Python package that serves as a companion tool to perform deep survival modeling within the PyTorch environment. Unlike existing libraries that impose specific parametric forms, TorchSurv enables the use of custom PyTorch-based deep survival models. With its lightweight design, minimal input requirements, full PyTorch backend, and freedom from restrictive survival model parameterizations, TorchSurv facilitates efficient deep survival model implementation and is particularly beneficial for high-dimensional and complex input data scenarios.
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Curia: A Multi-Modal Foundation Model for Radiology
A DINOv2 vision transformer pre-trained on 200M unlabeled CT/MRI slices matches or beats prior foundation models and radiology residents on a new 19-task benchmark.