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[HTML][HTML] Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease
diagnosis with their outstanding image classification performance. In spite of the outstanding …
diagnosis with their outstanding image classification performance. In spite of the outstanding …
Advanced material technologies for space and terrestrial medicine
The medical risks of spaceflight are amplified as humans venture into longer-duration and
greater-distance deep space voyages. During space missions, astronauts face the extremes …
greater-distance deep space voyages. During space missions, astronauts face the extremes …
[HTML][HTML] Brain tumor classification using a combination of variational autoencoders and generative adversarial networks
Brain tumors are a pernicious cancer with one of the lowest five-year survival rates.
Neurologists often use magnetic resonance imaging (MRI) to diagnose the type of brain …
Neurologists often use magnetic resonance imaging (MRI) to diagnose the type of brain …
[HTML][HTML] Segmentation-based classification deep learning model embedded with explainable AI for COVID-19 detection in chest X-ray scans
Background and Motivation: COVID-19 has resulted in a massive loss of life during the last
two years. The current imaging-based diagnostic methods for COVID-19 detection in …
two years. The current imaging-based diagnostic methods for COVID-19 detection in …
[BOOK][B] Introduction to biomedical imaging
A Webb - 2022 - books.google.com
Introduction to BiomedicalImaging A state-of-the-art exploration of the foundations and latest
developments in biomedical imaging technology In the newly revised second edition of …
developments in biomedical imaging technology In the newly revised second edition of …
Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information
Abstract Since US President Barack Obama announced the Precision Medicine Initiative in
his New Year's State of the Union address in 2015, the establishment of a precision …
his New Year's State of the Union address in 2015, the establishment of a precision …
Automatic ovarian tumors recognition system based on ensemble convolutional neural network with ultrasound imaging
ST Hsu, YJ Su, CH Hung, MJ Chen, CH Lu… - BMC Medical Informatics …, 2022 - Springer
Background Upon the discovery of ovarian cysts, obstetricians, gynecologists, and
ultrasound examiners must address the common clinical challenge of distinguishing …
ultrasound examiners must address the common clinical challenge of distinguishing …
Nanostructures and nanoparticles as medical diagnostic imaging contrast agents: A review
N Mhlanga, N Mphuthi, H Van der Walt… - Materials Today …, 2024 - Elsevier
Global health continues to be under threat evidenced by the recent surge of Covid-19 that
crippled the world's biosecurity. Prevention, diagnosis, treatment and management of …
crippled the world's biosecurity. Prevention, diagnosis, treatment and management of …
[HTML][HTML] Medical professional enhancement using explainable artificial intelligence in fetal cardiac ultrasound screening
Diagnostic support tools based on artificial intelligence (AI) have exhibited high performance
in various medical fields. However, their clinical application remains challenging because of …
in various medical fields. However, their clinical application remains challenging because of …
Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine
The increase in the expectations of artificial intelligence (AI) technology has led to machine
learning technology being actively used in the medical field. Non-negative matrix …
learning technology being actively used in the medical field. Non-negative matrix …