[PDF][PDF] Pelican Optimization with Majority Voting Ensemble Model for Tuberculosis Detection and Classification on Chest X-Ray Images.

K Manivannan, S Sathiamoorthy - International Journal of Intelligent …, 2023 - inass.org
Tuberculosis (TB) detection and classification on chest X-ray (CXR) images remains the
most significant task in medical diagnosis. TB is a contagious disorder that affects the …

Optimized tuberculosis classification system for chest X‐ray images: Fusing hyperparameter tuning with transfer learning approaches

R Wajgi, G Yenurkar, VO Nyangaresi… - Engineering …, 2024 - Wiley Online Library
Advanced diagnostic methods are necessary for the prompt and reliable identification of
tuberculosis (TB), which continues to be a worldwide health problem. Globally, there were …

A Novel Digitized Microscopic Images of ZN-Stained Sputum Smear and Its Classification Based on IUATLD Grades

S Aulia, AB Suksmono, TR Mengko… - IEEE Access, 2024 - ieeexplore.ieee.org
Microscopic detection of acid-fast bacilli (AFB) from mycobacterium tuberculosis (MTB) in
Ziehl-Neelsen (ZN)-stained sputum samples is a crucial step in the detection of TB …

Comparative Analysis of Diverse Classification Algorithms of Machine Learning by Using Various Quality Metrics

V Kathiresan, G Dinesh… - 2023 IEEE 5th …, 2023 - ieeexplore.ieee.org
Machine learning classification algorithms and their applications are becoming increasingly
popular in today's era of information science. Choosing an algorithm that is appropriate for …

Classification of Tuberculosis Based on Chest X-Ray Images for Imbalance Data using SMOTE

M Fadhlullah Kh TQ - International Journal of Computing and …, 2024 - journals.uob.edu.bh
This research delves into the challenge of dataset imbalance in classifying Chest X-Ray
(CXR) images in the TBX11K dataset. To address this, the study employs Random Forest …

An Enhanced Data-Driven Weather Forecasting using Deep Learning Model

L Krishnasamy, DV Anand… - 2023 14th …, 2023 - ieeexplore.ieee.org
Predicting present climate and the evolution of the ecosystem is more crucial than ever
because of the huge climatic shift that has occurred in nature. Weather forecasts normally …

Red-Unet: An Enhanced U-Net Architecture to Segment Tuberculosis Lesions on X-Ray Images

L Mosquera-Berrazueta, N Peréz… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
The lung is the organ most commonly affected by tuberculosis infection, with estimates of
lung involvement in subjects with active tuberculosis ranging from 79% to 87%. This type of …

AI based mouse using Face Recognition and Hand Gesture Recognition

A Kumar, N Pathak, M Kirola, N Sharma… - 2023 International …, 2023 - ieeexplore.ieee.org
The computer mouse is one of the incredible inventions of Human-Computer Interaction.
Wireless or Bluetooth mice we use currently are not free devices as they require batteries …

An effective review on the prediction and analysis of infectious lung diseases using machine learning algorithms

V Indira, DA Priyadarshini… - International Journal …, 2024 - inderscienceonline.com
Lung diseases are very seriously increasing nowadays due to the rapid environmental
changes and the variety of viruses in the universe. This review focuses on using machine …

Numerical Solution of SIR Model with Time Delay for Transmission of Tuberculosis Disease

ZM Ali, FH Abd Aziz, NA Azmi… - 2023 IEEE 11th …, 2023 - ieeexplore.ieee.org
Despite Malaysia's efforts to combat tuberculosis (TB) through strategies like early detection,
effective treatment, and public awareness campaigns, the disease remains a significant …