COVID-19 control by computer vision approaches: A survey
The COVID-19 pandemic has triggered an urgent call to contribute to the fight against an
immense threat to the human population. Computer Vision, as a subfield of artificial …
immense threat to the human population. Computer Vision, as a subfield of artificial …
Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review
A Bhargava, A Bansal - Multimedia tools and applications, 2021 - Springer
The universal transmission of pandemic COVID-19 (Coronavirus) causes an immediate
need to commit in the fight across the whole human population. The emergencies for human …
need to commit in the fight across the whole human population. The emergencies for human …
COVID-19 detection through transfer learning using multimodal imaging data
Detecting COVID-19 early may help in devising an appropriate treatment plan and disease
containment decisions. In this study, we demonstrate how transfer learning from deep …
containment decisions. In this study, we demonstrate how transfer learning from deep …
Deep learning for the detection of COVID-19 using transfer learning and model integration
We researched the diagnostic capabilities of deep learning on chest radiographs and an
image classifier based on the COVID-Net was presented to classify chest X-Ray images. In …
image classifier based on the COVID-Net was presented to classify chest X-Ray images. In …
X-ray image based COVID-19 detection using pre-trained deep learning models
Detecting COVID-19 early may help in devising an appropriate treatment plan and disease
containment decisions. In this study, we demonstrate how pre-trained deep learning models …
containment decisions. In this study, we demonstrate how pre-trained deep learning models …
Computer vision for COVID-19 control: a survey
The COVID-19 pandemic has triggered an urgent need to contribute to the fight against an
immense threat to the human population. Computer Vision, as a subfield of Artificial …
immense threat to the human population. Computer Vision, as a subfield of Artificial …
Denoising techniques for cephalometric x-ray images: A comprehensive review
M Juneja, JS Minhas, N Singla, R Kaur… - Multimedia Tools and …, 2024 - Springer
Noising in X-ray imaging has been one of the biggest challenges that leads to insufficient
and improper diagnosis. Despite the fact that X-rays are one of the most widespread and …
and improper diagnosis. Despite the fact that X-rays are one of the most widespread and …
Pipeline for advanced contrast enhancement (PACE) of chest X-ray in evaluating COVID-19 patients by combining bidimensional empirical mode decomposition and …
COVID-19 is a new pulmonary disease which is driving stress to the hospitals due to the
large number of cases worldwide. Imaging of lungs can play a key role in the monitoring of …
large number of cases worldwide. Imaging of lungs can play a key role in the monitoring of …
Medical X-ray image enhancement based on wavelet domain homomorphic filtering and CLAHE
H Wen, W Qi, L Shuang - … on Robots & Intelligent System (ICRIS …, 2016 - ieeexplore.ieee.org
For the medical X-ray image with low brightness, low contrast and noise, we proposed an
image enhancement algorithm which based on wavelet domain homomorphic filtering and …
image enhancement algorithm which based on wavelet domain homomorphic filtering and …
Region based adaptive contrast enhancement of medical ultrasound images
A Girdhar, S Gupta, J Bhullar - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Since the dawn of computerization of medical science, ultrasonic imaging has been an
active research area and impacts important applications in the medical field. Ultrasound …
active research area and impacts important applications in the medical field. Ultrasound …