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KochDet: BiFPN-based deep architecture for tuberculosis diagnosis
PRS dos Santos, V de Carvalho Brito… - … Signal Processing and …, 2024 - Elsevier
Abstract Background and Objective: Tuberculosis is a bacterial infection caused by Koch's
bacillus, and its transmission occurs through the air. The disease mainly affects the lungs …
bacillus, and its transmission occurs through the air. The disease mainly affects the lungs …
Xception Taylor Cascade Neuro Network based infection level identification of tuberculosis using sputum images
H Padmanaban, G Rajarajan… - Intelligent Decision …, 2024 - journals.sagepub.com
Currently, one amongst most primary health problems and an enormously transmittable
disease is Tuberculosis (TB). This disease spreads all over the world and is commonly …
disease is Tuberculosis (TB). This disease spreads all over the world and is commonly …
Analysis and comparison of image processing and artificial intelligence algorithms to detect AFB in pulmonary tuberculosis images
JL Díaz-Huerta, AC Téllez-Anguiano… - Tuberculosis, 2022 - Elsevier
Pulmonary tuberculosis (TB) is one of the top 10 causes of death worldwide caused by an
infection. TB is curable with an adequate diagnosis, normally performed through …
infection. TB is curable with an adequate diagnosis, normally performed through …
Automatic Detection of Tuberculosis bacilli from Conventional Sputum Smear Microscopic Images Using Densely Connected Convolutional Networks
RO Panicker, MK Sabu - SN Computer Science, 2022 - Springer
Early and correct diagnosis of Tuberculosis (TB) is important for proper treatment. According
to WHO 2020 report, about 10 million people fell ill with TB and 1.4 million died in 2019 …
to WHO 2020 report, about 10 million people fell ill with TB and 1.4 million died in 2019 …
[HTML][HTML] Machine-learning methods for detecting tuberculosis in Ziehl-Neelsen stained slides: A systematic literature review
Tuberculosis (TB) remains a global health threat, and rapid, automated and accurate
diagnosis is crucial for effective control. The tedious and subjective nature of Ziehl-Neelsen …
diagnosis is crucial for effective control. The tedious and subjective nature of Ziehl-Neelsen …
Enhanced Tuberculosis Bacilli Detection using Attention-Residual U-Net and Ensemble Classification
K Greeshma, S Vishnukumar - arxiv preprint arxiv:2501.03539, 2025 - arxiv.org
Tuberculosis (TB), caused by Mycobacterium tuberculosis, remains a critical global health
issue, necessitating timely diagnosis and treatment. Current methods for detecting …
issue, necessitating timely diagnosis and treatment. Current methods for detecting …
Efficient and Accurate Tuberculosis Diagnosis: Attention Residual U-Net and Vision Transformer Based Detection Framework
K Greeshma, S Vishnukumar - arxiv preprint arxiv:2501.03538, 2025 - arxiv.org
Tuberculosis (TB), an infectious disease caused by Mycobacterium tuberculosis, continues
to be a major global health threat despite being preventable and curable. This burden is …
to be a major global health threat despite being preventable and curable. This burden is …
A framework for selection of machine learning algorithms based on performance metrices and Akaike information criteria in healthcare, telecommunication, and …
AK Hamisu, K Jasleen - Machine Learning and Deep Learning in …, 2022 - taylorfrancis.com
Machine learning (ML) has been a prevailing method in the knowledge discovery process.
Recently there has been attention on applying ML algorithms for tasks such as classification …
Recently there has been attention on applying ML algorithms for tasks such as classification …