Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine
F Pesapane, M Codari, F Sardanelli - European radiology experimental, 2018 - Springer
One of the most promising areas of health innovation is the application of artificial
intelligence (AI), primarily in medical imaging. This article provides basic definitions of terms …
intelligence (AI), primarily in medical imaging. This article provides basic definitions of terms …
Advances in deep learning for tuberculosis screening using chest X-rays: the last 5 years review
There has been an explosive growth in research over the last decade exploring machine
learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary …
learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary …
Tuberculosis detection in chest radiograph using convolutional neural network architecture and explainable artificial intelligence
SI Nafisah, G Muhammad - Neural Computing and Applications, 2024 - Springer
In most regions of the world, tuberculosis (TB) is classified as a malignant infectious disease
that can be fatal. Using advanced tools and technology, automatic analysis and …
that can be fatal. Using advanced tools and technology, automatic analysis and …
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 …
Deep learning in chest radiography: detection of findings and presence of change
R Singh, MK Kalra, C Nitiwarangkul, JA Patti… - PloS one, 2018 - journals.plos.org
Background Deep learning (DL) based solutions have been proposed for interpretation of
several imaging modalities including radiography, CT, and MR. For chest radiographs, DL …
several imaging modalities including radiography, CT, and MR. For chest radiographs, DL …
Ensemble learning based automatic detection of tuberculosis in chest X-ray images using hybrid feature descriptors
Tuberculosis (TB) remains one of the major health problems in modern times with a high
mortality rate. While efforts are being made to make early diagnosis accessible and more …
mortality rate. While efforts are being made to make early diagnosis accessible and more …
Uniformizing techniques to process CT scans with 3D CNNs for tuberculosis prediction
A common approach to medical image analysis on volumetric data uses deep 2D
convolutional neural networks (CNNs). This is largely attributed to the challenges imposed …
convolutional neural networks (CNNs). This is largely attributed to the challenges imposed …
3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior …
V Pedoia, B Norman, SN Mehany… - Journal of Magnetic …, 2019 - Wiley Online Library
Background Semiquantitative assessment of MRI plays a central role in musculoskeletal
research; however, in the clinical setting MRI reports often tend to be subjective and …
research; however, in the clinical setting MRI reports often tend to be subjective and …
[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 …
Detection of tuberculosis disease using image processing technique
Machine learning is a branch of computing that studies the design of algorithms with the
ability to “learn.” A subfield would be deep learning, which is a series of techniques that …
ability to “learn.” A subfield would be deep learning, which is a series of techniques that …