Early diagnosis of pulmonary embolism using deep learning and SPECT/CT Exams Fusion
- International Journal of Radiology & Radiation Therapy
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Hamida Romdhane, Mohamed Ali Cherni, Dorra Ben Sellem
Abstract
Pulmonary embolism is a serious disease, which can be life-threatening. Its treatment and its detection are sometimes complicated. The two most commonly used imaging techniques are the computed tomography pulmonary angiography and the pulmonary scintigraphy.
Keywords
image fusion, image processing, deep siamese neural network, SPECT/CT, pulmonary lobes
