A survey of deep learning for lung disease detection on medical images: state-of-the-art, taxonomy, issues and future directions
The recent developments of deep learning support the identification and classification of
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
Machine learning and deep learning based computational approaches in automatic microorganisms image recognition: methodologies, challenges, and …
Microorganisms or microbes comprise majority of the diversity on earth and are extremely
important to human life. They are also integral to processes in the ecosystem. The process of …
important to human life. They are also integral to processes in the ecosystem. The process of …
Automatic detection of tuberculosis bacilli from microscopic sputum smear images using deep learning methods
RO Panicker, KS Kalmady, J Rajan, MK Sabu - … and Biomedical Engineering, 2018 - Elsevier
An automatic method for the detection of Tuberculosis (TB) bacilli from microscopic sputum
smear images is presented in this paper. According to WHO, TB is the ninth leading cause of …
smear images is presented in this paper. According to WHO, TB is the ninth leading cause of …
Advances towards automatic detection and classification of parasites microscopic images using deep convolutional neural network: methods, models and research …
In the developing world, parasites are responsible for causing several serious health
problems, with relatively high infections in human beings. The traditional manual light …
problems, with relatively high infections in human beings. The traditional manual light …
Automated bacterial classifications using machine learning based computational techniques: architectures, challenges and open research issues
Bacteria are important in a variety of practical domains, including industry, agriculture,
medicine etc. A very few species of bacteria are favourable to humans. Whereas, majority of …
medicine etc. A very few species of bacteria are favourable to humans. Whereas, majority of …
Computational techniques for the automated detection of mycobacterium tuberculosis from digitized sputum smear microscopic images: A systematic review
E Kotei, R Thirunavukarasu - Progress in Biophysics and Molecular Biology, 2022 - Elsevier
Background Tuberculosis is an infectious disease that is caused by Mycobacterium
tuberculosis (MTB), which mostly affects the lungs of humans. Bright-field microscopy and …
tuberculosis (MTB), which mostly affects the lungs of humans. Bright-field microscopy and …
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 …
An accurate artificial intelligence system for the detection of pulmonary and extra pulmonary Tuberculosis
Tuberculosis (TB) is the greatest irresistible illness in humans, caused by microbes
Mycobacterium TB (MTB) bacteria and is an infectious disease that spreads from one …
Mycobacterium TB (MTB) bacteria and is an infectious disease that spreads from one …
An effective and accurate identification system of Mycobacterium tuberculosis using convolution neural networks
CP Kuok, MH Horng, YM Liao… - Microscopy research …, 2019 - Wiley Online Library
Tuberculosis (TB) remains the leading cause of morbidity and mortality from infectious
disease in developing countries. The sputum smear microscopy remains the primary …
disease in developing countries. The sputum smear microscopy remains the primary …
Automatic detection of tuberculosis bacilli from microscopic sputum smear images using faster r-cnn, transfer learning and augmentation
M El-Melegy, D Mohamed, T ElMelegy - … 2019, Madrid, Spain, July 1–4 …, 2019 - Springer
Tuberculosis (TB) is a serious infectious disease that remains a global health problem with
an enormous burden of disease. TB spreads widely in low-and middle-income countries …
an enormous burden of disease. TB spreads widely in low-and middle-income countries …