Chest X-ray analysis empowered with deep learning: A systematic review
Chest radiographs are widely used in the medical domain and at present, chest X-radiation
particularly plays an important role in the diagnosis of medical conditions such as …
particularly plays an important role in the diagnosis of medical conditions such as …
[HTML][HTML] Role of artificial intelligence in COVID-19 detection
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
[HTML][HTML] Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
Blood cancer has been a growing concern during the last decade and requires early
diagnosis to start proper treatment. The diagnosis process is costly and time-consuming …
diagnosis to start proper treatment. The diagnosis process is costly and time-consuming …
[HTML][HTML] Cvd-hnet: Classifying pneumonia and Covid-19 in chest x-ray images using deep network
S Suganyadevi, V Seethalakshmi - Wireless Personal Communications, 2022 - Springer
The use of computer-assisted analysis to improve image interpretation has been a long-
standing challenge in the medical imaging industry. In terms of image comprehension …
standing challenge in the medical imaging industry. In terms of image comprehension …
A novel method for multivariant pneumonia classification based on hybrid CNN-PCA based feature extraction using extreme learning machine with CXR images
In this era of COVID19, proper diagnosis and treatment of pneumonia are very important.
Chest X-Ray (CXR) image analysis plays a vital role in the reliable diagnosis of pneumonia …
Chest X-Ray (CXR) image analysis plays a vital role in the reliable diagnosis of pneumonia …
Malware detection using image representation of malware data and transfer learning
With the increased proliferation of internet-enabled mobile devices and large internet use,
cybercrime incidents have grown exponentially, often leading to huge financial losses. Most …
cybercrime incidents have grown exponentially, often leading to huge financial losses. Most …
[HTML][HTML] A novel approach to railway track faults detection using acoustic analysis
Regular inspection of railway track health is crucial for maintaining safe and reliable train
operations. Factors, such as cracks, ballast issues, rail discontinuity, loose nuts and bolts …
operations. Factors, such as cracks, ballast issues, rail discontinuity, loose nuts and bolts …
[PDF][PDF] Deep learning based image classification of lungs radiography for detecting COVID-19 using a deep CNN and ResNet 50
The lungs radiography (chest x-ray) is a screening tool for COVID-19 that is widely used;
however, its interpretation can be difficult due to the presence of subtle changes in the lungs …
however, its interpretation can be difficult due to the presence of subtle changes in the lungs …
[HTML][HTML] A new hybrid model of convolutional neural networks and hidden Markov chains for image classification
S Goumiri, D Benboudjema, W Pieczynski - Neural Computing and …, 2023 - Springer
Convolutional neural networks (CNNs) have lately proven to be extremely effective in image
recognition. Besides CNN, hidden Markov chains (HMCs) are probabilistic models widely …
recognition. Besides CNN, hidden Markov chains (HMCs) are probabilistic models widely …
[HTML][HTML] Respiration based non-invasive approach for emotion recognition using impulse radio ultra wide band radar and machine learning
Emotion recognition gained increasingly prominent attraction from a multitude of fields
recently due to their wide use in human-computer interaction interface, therapy, and …
recently due to their wide use in human-computer interaction interface, therapy, and …