Uniformizing techniques to process CT scans with 3D CNNs for tuberculosis prediction
A common approach to medical image analysis on volumetric data uses deep 2D
convolutional neural networks (CNNs). This is largely attributed to the challenges imposed …
convolutional neural networks (CNNs). This is largely attributed to the challenges imposed …
Overview of ImageCLEFtuberculosis 2019: automatic CT-based report generation and tuberculosis severity assessment
Y Dicente Cid, V Liauchuk, D Klimuk… - Proceedings of CLEF …, 2019 - arodes.hes-so.ch
Résumé ImageCLEF is the image retrieval task of the Conference and Labs of the
Evaluation Forum (CLEF). ImageCLEF has historically focused on the multimodal and …
Evaluation Forum (CLEF). ImageCLEF has historically focused on the multimodal and …
Comparison of different CNN models in tuberculosis detecting
J Liu, Y Huang - KSII Transactions on Internet and Information …, 2020 - koreascience.kr
Tuberculosis is a chronic and delayed infection which is easily experienced by young
people. According to the statistics of the World Health Organization (WHO), there are nearly …
people. According to the statistics of the World Health Organization (WHO), there are nearly …
A Comparative Study of Detection of Tuberculosis using Machine Learning & Deep Learning
RS Prasad, RC Waghmare, TB Pajgade… - … on Computing for …, 2023 - ieeexplore.ieee.org
This review paper provides an overview of the comparative studies conducted on the use of
machine learning (ML) and deep learning (DL) in the diagnosis of tuberculosis (TB). Deep …
machine learning (ML) and deep learning (DL) in the diagnosis of tuberculosis (TB). Deep …
A Novel Tuberculosis Prediction Model by Extracting Radiological Features Present in Chest X-ray Images Using Modified Discrete Grey Wolf Optimizer Based …
J Senthil Kumar, S Balamurugan… - Journal of Medical …, 2021 - ingentaconnect.com
In 2018, an invariant numbers ranging from 10 million people suffered from Tuberculosis
(TB) approximately that has remained quite stable in recent years, based on the WHO 2019 …
(TB) approximately that has remained quite stable in recent years, based on the WHO 2019 …