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Found 11 papers, 1 papers with code
Solving the multiplication problem of a large language model system using a graph-based method
The generative pre-trained transformer (GPT)-based chatbot software ChatGPT possesses excellent natural language processing capabilities but is inadequate for solving arithmetic problems, especially multiplication.
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks
The proposed algorithm achieved excellent generalization results against an external dataset with sensitivity of 77% at a false positive rate of 7. 6.
2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips
Recognizing the need for an adaptable, accurate, and scalable satellite image chip classification scheme, in this research we present an ensemble of: i) a slow to train but high accuracy vision transformer; and ii) a fast to train, low-parameter convolutional neural network.
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection
In stripping chest X-ray images of known confounding variables by lung field segmentation, along with suppression of signal noise from the bone structure we can train a highly accurate deep learning lung nodule detection algorithm with outstanding generalization accuracy of 89% to nodule samples in unseen data.
Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring
We then assess the predictive ability of these models for COVID-19 severity using an independent new dataset that is stratified for COVID-19 lung involvement.
A new method for constructing continuous distributions on the unit interval
Considering two absolutely continuous random variables with positive support, this method conditions on their convolution to generate a new random variable in the unit interval.
Statistics Theory Statistics Theory 60E05
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images
Decision trees mined using this method may be considered as a starting point for refinement into clinically useful multi-variate lung cancer malignancy models for implementation as a workflow augmentation tool to improve the efficiency of human radiologists.
MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features
As the primary contribution, this method correlates well to patient severity in different stages of disease progression with competitive results compared to other existing, more complex methods.
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients
X-ray images may present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19.
Changing Clusters of Indian States with respect to number of Cases of COVID-19 using incrementalKMN Method
The novel Coronavirus (COVID-19) incidence in India is currently experiencing exponential rise but with apparent spatial variation in growth rate and doubling time rate.
A Practical Blockchain Framework using Image Hashing for Image Authentication
As a blockchain system can be useful for maintaining data integrity, image authentication has the potential to be enhanced by blockchain.
