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 …
[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 and classification of lung diseases for pneumonia and Covid-19 using machine and deep learning techniques
Since the arrival of the novel Covid-19, several types of researches have been initiated for
its accurate prediction across the world. The earlier lung disease pneumonia is closely …
its accurate prediction across the world. The earlier lung disease pneumonia is closely …
Automatic tunnel lining crack evaluation and measurement using deep learning
A tunnel is an imperative underground passageway that supports fast and uninterrupted
transportation. Over time, various factors, such as ageing, topographical changes, and …
transportation. Over time, various factors, such as ageing, topographical changes, and …
Real-time detection of full-scale forest fire smoke based on deep convolution neural network
X Zheng, F Chen, L Lou, P Cheng, Y Huang - Remote Sensing, 2022 - mdpi.com
To reduce the loss induced by forest fires, it is very important to detect the forest fire smoke in
real time so that early and timely warning can be issued. Machine vision and image …
real time so that early and timely warning can be issued. Machine vision and image …
Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm
AMQ Farhan, S Yang - Multimedia Tools and applications, 2023 - Springer
The chest X-ray images provide vital information about the congestion cost-effectively. We
propose a novel Hybrid Deep Learning Algorithm (HDLA) framework for automatic lung …
propose a novel Hybrid Deep Learning Algorithm (HDLA) framework for automatic lung …
CXray-EffDet: chest disease detection and classification from X-ray images using the EfficientDet model
The competence of machine learning approaches to carry out clinical expertise tasks has
recently gained a lot of attention, particularly in the field of medical-imaging examination …
recently gained a lot of attention, particularly in the field of medical-imaging examination …
Robust asymmetric loss for multi-label long-tailed learning
In real medical data, training samples typically show long-tailed distributions with multiple
labels. Class distribution of the medical data has a long-tailed shape, in which the incidence …
labels. Class distribution of the medical data has a long-tailed shape, in which the incidence …
Pneumonia classification using quaternion deep learning
S Singh, BK Tripathi - Multimedia Tools and Applications, 2022 - Springer
Pneumonia is an infection in one or both the lungs because of virus or bacteria through
breathing air. It inflames air sacs in lungs which fill with fluid which further leads to problems …
breathing air. It inflames air sacs in lungs which fill with fluid which further leads to problems …
Structure preserving stain normalization of histopathology images using self supervised semantic guidance
Although generative adversarial network (GAN) based style transfer is state of the art in
histopathology color-stain normalization, they do not explicitly integrate structural …
histopathology color-stain normalization, they do not explicitly integrate structural …