A hybrid approach for automatic segmentation and classification to detect tuberculosis
Objective Tuberculosis (TB) remains a significant global infectious disease, posing a
considerable health threat, particularly in resource-constrained regions. Due to diverse …
considerable health threat, particularly in resource-constrained regions. Due to diverse …
Enhanced swin transformer based tuberculosis classification with segmentation using chest X-ray
Background: Tuberculosis disease is the disease that causes significant morbidity and
mortality worldwide. Thus, early detection of the disease is crucial for proper treatment and …
mortality worldwide. Thus, early detection of the disease is crucial for proper treatment and …
[HTML][HTML] An X-ray image-based pruned dense convolution neural network for tuberculosis detection
According to the Ministry of Health in Kenya, tuberculosis (TB) is the fifth greatest cause of
death and the main infectious disease killer in Kenya and across the world. In Kenya and …
death and the main infectious disease killer in Kenya and across the world. In Kenya and …
A Hybrid Model for Classification of Tuberculosis Chest X-Rays Images
Tuberculosis (TB), a grave infectious disease affecting millions globally, is often diagnosed
using chest X-rays. For accurate diagnosis, especially for detecting early stage, medical …
using chest X-rays. For accurate diagnosis, especially for detecting early stage, medical …