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Open AccessAppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining
The development of deep learning algorithms for complex tasks in digital medicine has relied on the availability of large labeled training datasets, usually containing hundreds of thousands of examples. The pu...
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Open AccessPENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
Pulmonary embolism (PE) is a life-threatening clinical problem and computed tomography pulmonary angiography (CTPA) is the gold standard for diagnosis. Prompt diagnosis and immediate treatment are critical to ...
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Open AccessAuthor Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
