A survey on AI techniques for thoracic diseases diagnosis using medical images
Thoracic diseases refer to disorders that affect the lungs, heart, and other parts of the rib
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models
F Abdurahman, KA Fante, M Aliy - BMC bioinformatics, 2021 - Springer
Background Manual microscopic examination of Leishman/Giemsa stained thin and thick
blood smear is still the “gold standard” for malaria diagnosis. One of the drawbacks of this …
blood smear is still the “gold standard” for malaria diagnosis. One of the drawbacks of this …
A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues
Tuberculosis is the most common mycobacterial disease that affects humans worldwide.
Rapid and reliable diagnosis of mycobacteria is crucial to identify infected individuals, to …
Rapid and reliable diagnosis of mycobacteria is crucial to identify infected individuals, to …
A systematic review and repeatability study on the use of deep learning for classifying and detecting tuberculosis bacilli in microscopic images
TFM Carvalho, VLA Santos, JCF Silva… - Progress in Biophysics …, 2023 - Elsevier
Tuberculosis (TB) is among the leading causes of death worldwide from a single infectious
agent. This disease usually affects the lungs (pulmonary TB) and can be cured in most …
agent. This disease usually affects the lungs (pulmonary TB) and can be cured in most …
A new artificial intelligence-based method for identifying mycobacterium tuberculosis in Ziehl–Neelsen stain on tissue
Mycobacteria identification is crucial to diagnose tuberculosis. Since the bacillus is very
small, finding it in Ziehl–Neelsen (ZN)-stained slides is a long task requiring significant …
small, finding it in Ziehl–Neelsen (ZN)-stained slides is a long task requiring significant …
Bacterial image analysis using multi-task deep learning approaches for clinical microscopy
Background Bacterial image analysis plays a vital role in various fields, providing valuable
information and insights for studying bacterial structural biology, diagnosing and treating …
information and insights for studying bacterial structural biology, diagnosing and treating …
[PDF][PDF] Computer aided detection of tuberculosis using two classifiers
Abstracts Tuberculosis caused by Mycobacterium tuberculosis have been a major challenge
for medical and healthcare sectors in many underdeveloped countries with limited diagnosis …
for medical and healthcare sectors in many underdeveloped countries with limited diagnosis …
Computer-aided detection of tuberculosis from microbiological and radiographic images
AU Ibrahim, AG Kibarer, F Al-Turjman - Data Intelligence, 2023 - direct.mit.edu
Tuberculosis caused by Mycobacterium tuberculosis have been a major challenge for
medical and healthcare sectors in many underdeveloped countries with limited diagnosis …
medical and healthcare sectors in many underdeveloped countries with limited diagnosis …
A Study of Mycobacterium tuberculosis Detection Using Different Neural Networks in Autopsy Specimens
J Lee, J Lee - Diagnostics, 2023 - mdpi.com
Tuberculosis (TB) presents a substantial health risk to autopsy staff, given its three to five
times higher incidence of TB compared to clinical staff. This risk is notably accentuated in …
times higher incidence of TB compared to clinical staff. This risk is notably accentuated in …
Tuberculosis bacilli identification: a novel feature extraction approach via statistical shape and color models
Tuberculosis (TB) is an infectious disease resulting in 1.5 M deaths worldwide every year.
Early diagnosis can play an important role in reducing TB induced mortality rates. A common …
Early diagnosis can play an important role in reducing TB induced mortality rates. A common …