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Found 4 papers, 3 papers with code
Quati: A Brazilian Portuguese Information Retrieval Dataset from Native Speakers
Despite Portuguese being one of the most spoken languages in the world, there is a lack of high-quality information retrieval datasets in that language.
MEDPSeg: Hierarchical polymorphic multitask learning for the segmentation of ground-glass opacities, consolidation, and pulmonary structures on computed tomography
The COVID-19 pandemic response highlighted the potential of deep learning methods in facilitating the diagnosis, prognosis and understanding of lung diseases through automated segmentation of pulmonary structures and lesions in chest computed tomography (CT).
Automatic segmentation of lung findings in CT and application to Long COVID
A comprehensive ablation study was performed to evaluate the contribution of the proposed network modifications.
Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents
A typical information extraction pipeline consists of token- or span-level classification models coupled with a series of pre- and post-processing scripts.
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