Deep learning approaches for COVID-19 detection based on chest X-ray images
COVID-19 is a novel virus that causes infection in both the upper respiratory tract and the
lungs. The numbers of cases and deaths have increased on a daily basis on the scale of a …
lungs. The numbers of cases and deaths have increased on a daily basis on the scale of a …
A novel transfer learning based approach for pneumonia detection in chest X-ray images
Pneumonia is among the top diseases which cause most of the deaths all over the world.
Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the …
Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the …
Transfer learning with deep convolutional neural network (CNN) for pneumonia detection using chest X-ray
Pneumonia is a life-threatening disease, which occurs in the lungs caused by either
bacterial or viral infection. It can be life-endangering if not acted upon at the right time and …
bacterial or viral infection. It can be life-endangering if not acted upon at the right time and …
Pulmonary image classification based on inception-v3 transfer learning model
C Wang, D Chen, L Hao, X Liu, Y Zeng, J Chen… - IEEE …, 2019 - ieeexplore.ieee.org
Chest X-ray film is the most widely used and common method of clinical examination for
pulmonary nodules. However, the number of radiologists obviously cannot keep up with this …
pulmonary nodules. However, the number of radiologists obviously cannot keep up with this …
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Purpose There are millions of people who lose their life due to several types of fatal
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
A novel method for detection of tuberculosis in chest radiographs using artificial ecosystem-based optimisation of deep neural network features
Tuberculosis (TB) is is an infectious disease that generally attacks the lungs and causes
death for millions of people annually. Chest radiography and deep-learning-based image …
death for millions of people annually. Chest radiography and deep-learning-based image …
Liver tumor segmentation in CT scans using modified SegNet
S Almotairi, G Kareem, M Aouf, B Almutairi… - Sensors, 2020 - mdpi.com
The main cause of death related to cancer worldwide is from hepatic cancer. Detection of
hepatic cancer early using computed tomography (CT) could prevent millions of patients' …
hepatic cancer early using computed tomography (CT) could prevent millions of patients' …
Probabilistic physics-guided machine learning for fatigue data analysis
Abstract A Probabilistic Physics-guided Neural Network (PPgNN) is proposed in this paper
for probabilistic fatigue SN curve estimation. The proposed model overcomes the limitations …
for probabilistic fatigue SN curve estimation. The proposed model overcomes the limitations …
A regional adaptive variational PDE model for computed tomography image reconstruction
W Wei, B Zhou, D Połap, M Woźniak - Pattern Recognition, 2019 - Elsevier
Improving CT images by increasing the number of scans, hence increasing the ionizing
radiation dose, can increase the probability of inducing cancer in the patient. Using fewer …
radiation dose, can increase the probability of inducing cancer in the patient. Using fewer …