Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture
XW Gao, C James-Reynolds, E Currie - Neurocomputing, 2020 - Elsevier
This research investigates the application of CT pulmonary images to the detection and
characterisation of TB at five levels of severity, in order to monitor the efficacy of treatment …
characterisation of TB at five levels of severity, in order to monitor the efficacy of treatment …
Ensembled liver cancer detection and classification using CT images
Computed tomography (CT) images are commonly used to diagnose liver disease. It is
sometimes very difficult to comment on the type, category and level of the tumor, even for …
sometimes very difficult to comment on the type, category and level of the tumor, even for …
Overview of ImageCLEFtuberculosis 2018: detecting multi-drug resistance, classifying tuberculosis types and assessing severity scores
ImageCLEF is the image retrieval task of the Conference and Labs of the Evaluation Forum
(CLEF). ImageCLEF has historically focused on the multimodal and language-independent …
(CLEF). ImageCLEF has historically focused on the multimodal and language-independent …
DeepPulmoTB: A benchmark dataset for multi-task learning of tuberculosis lesions in lung computerized tomography (CT)
Tuberculosis (TB) remains a significant global health challenge, characterized by high
incidence and mortality rates on a global scale. With the rapid advancement of computer …
incidence and mortality rates on a global scale. With the rapid advancement of computer …
[PDF][PDF] Feature and Deep Learning Based Approaches for Automatic Report Generation and Severity Scoring of Lung Tuberculosis from CT Images.
K Bogomasov, D Braun, A Burbach… - CLEF (Working …, 2019 - ceur-ws.org
The paper presents two approaches for automatic Computed Tomography (CT) report and
tuberculosis (TB) severity scoring which were two subtasks of ImageCLEFtuberculosis 2019 …
tuberculosis (TB) severity scoring which were two subtasks of ImageCLEFtuberculosis 2019 …
[PDF][PDF] Anwendungsgebiete für die automatisierte Informationsgewinnung aus Bildern
Das Erkennen von Objekten in Bildern wird in vielen Anwendungsgebieten benötigt. Am
Beispiel der Erkennung von Bergen–anhand ihrer Silhouette–und von Sehenswürdigkeiten …
Beispiel der Erkennung von Bergen–anhand ihrer Silhouette–und von Sehenswürdigkeiten …