Weakly Supervised Classification and Localization of Thorax Diseases on X-Ray images

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dc.contributor.authorJose, Alinstein
dc.contributor.supervisorLu, Wu-Sheng
dc.date.accessioned2021-04-12T20:27:33Z
dc.date.available2021-04-12T20:27:33Z
dc.date.copyright2021en_US
dc.date.issued2021-04-12
dc.degree.departmentDepartment of Electrical and Computer Engineering
dc.degree.levelMaster of Engineering M.Eng.en_US
dc.description.abstractDeep learning has added a vast improvement to the already rapidly developing field of computer vision. The ability to solve many computer vision problems like image classification, object detection, localization, and tracking has grown significantly in terms of performance and efficiency in recent years when the field is equipped with state-of-the-art deep learning techniques. In this project, we focus on classification and localization for medical imaging. Specifically, in the first part of the project, we develop a deep neural network that predicts disease in Chest X-ray images. Recent advancements in transfer earning suggest using the pre-trained model and fine-tuning since it is shown to produce state-of-the-art results. Therefore, in this project, we use both the learning of a model from scratch and transfer learning to classify chest X-ray images. In the second part of the project, we tackle the unavailability of dense annotation of region-level bounding boxes of diseases in X-ray images and propose a method to locate disease regions in X-ray images by constructing a weakly supervised localization method.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/12846
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectWeakly Supervised Classificationen_US
dc.subjectWeakly Supervised Localizationen_US
dc.subjectX-Ray imagesen_US
dc.subjectThorax Diseasesen_US
dc.subjectClass Activation Mapen_US
dc.subjectDeep Learningen_US
dc.subjectConvolution Neural Networken_US
dc.subjectGradCAMen_US
dc.subjectGradCAM++en_US
dc.titleWeakly Supervised Classification and Localization of Thorax Diseases on X-Ray imagesen_US
dc.typeprojecten_US

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