Deep Multiple Instance Learning for Pulmonary Embolism Diagnosis in SPECT Images
Objective: In the computer-aided diagnosis of pulmonary embolism using three-dimensional ventilation/perfusion single-photon emission computed tomography (V/P SPECT) images, conventional globally supervised learning models exhibit limited sensitivity to local lesions due to the small volume of perfusion defects and the...