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Found 4 papers, 3 papers with code
Cancer Gene Profiling through Unsupervised Discovery
Precision medicine is a paradigm shift in healthcare relying heavily on genomics data.
Deep learning based registration using spatial gradients and noisy segmentation labels
Image registration is one of the most challenging problems in medical image analysis.
Weakly supervised multiple instance learning histopathological tumor segmentation
In this paper, we propose a weakly supervised framework for whole slide imaging segmentation that relies on standard clinical annotations, available in most medical systems.
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation
Image registration and segmentation are the two most studied problems in medical image analysis.
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