Artificial intelligence-based pulmonary embolism classification: Development and validation using real-world data
Luan Oliveira da Silva,
Maria Carolina Bueno da Silva,
Guilherme Alberto Sousa Ribeiro
et al.
Abstract:This paper presents an artificial intelligence-based classification model for the detection of pulmonary embolism in computed tomography angiography. The proposed model, developed from public data and validated on a large dataset from a tertiary hospital, uses a two-dimensional approach that integrates temporal series to classify each slice of the examination and make predictions at both slice and examination levels. The training process consists of two stages: first using a convolutional neural network Incept… Show more
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