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 …
[HTML][HTML] Machine and deep learning for tuberculosis detection on chest x-rays: systematic literature review
Background Tuberculosis (TB) was the leading infectious cause of mortality globally prior to
COVID-19 and chest radiography has an important role in the detection, and subsequent …
COVID-19 and chest radiography has an important role in the detection, and subsequent …
[HTML][HTML] A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
In 2019, the world experienced the rapid outbreak of the Covid-19 pandemic creating an
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
Medical image analysis based on deep learning approach
M Puttagunta, S Ravi - Multimedia tools and applications, 2021 - Springer
Medical imaging plays a significant role in different clinical applications such as medical
procedures used for early detection, monitoring, diagnosis, and treatment evaluation of …
procedures used for early detection, monitoring, diagnosis, and treatment evaluation of …
Enhanced lung image segmentation using deep learning
With the advances in technology, assistive medical systems are emerging with rapid growth
and helping healthcare professionals. The proactive diagnosis of diseases with artificial …
and helping healthcare professionals. The proactive diagnosis of diseases with artificial …
Tuberculosis disease diagnosis based on an optimized machine learning model
Computer science plays an important role in modern dynamic health systems. Given the
collaborative nature of the diagnostic process, computer technology provides important …
collaborative nature of the diagnostic process, computer technology provides important …
AI‐Assisted Tuberculosis Detection and Classification from Chest X‐Rays Using a Deep Learning Normalization‐Free Network Model
Tuberculosis (TB) is an airborne disease caused by Mycobacterium tuberculosis. It is
imperative to detect cases of TB as early as possible because if left untreated, there is a 70 …
imperative to detect cases of TB as early as possible because if left untreated, there is a 70 …
Ensemble deep learning for tuberculosis detection using chest X-ray and canny edge detected images
MHA Hijazi, SKT Hwa, A Bade… - … Journal of Artificial …, 2019 - search.proquest.com
Tuberculosis (TB) is a disease caused by Mycobacterium Tuberculosis. Detection of TB at
an early stage reduces mortality. Early stage TB is usually diagnosed using chest x-ray …
an early stage reduces mortality. Early stage TB is usually diagnosed using chest x-ray …
Deep feature extraction and classification of breast ultrasound images
Controlled despeckling (structure/edges/feature preservation with smoothing the
homogeneous areas) is a desired pre-processing step for the design of computer-aided …
homogeneous areas) is a desired pre-processing step for the design of computer-aided …
Machine vision approach for diagnosing tuberculosis (TB) based on computerized tomography (CT) scan images
I Haq, T Mazhar, Q Nasir, S Razzaq, SAH Mohsan… - Symmetry, 2022 - mdpi.com
Tuberculosis is curable, still the world's second inflectional murderous disease, and ranked
13th (in 2020) by the World Health Organization on the list of leading death causes. One of …
13th (in 2020) by the World Health Organization on the list of leading death causes. One of …