Comparative study of the methodologies used for subjective medical image quality assessment
Healthcare professionals have been increasingly viewing medical images and videos in
their routine clinical practice, and this in a wide variety of environments. Both the perception …
their routine clinical practice, and this in a wide variety of environments. Both the perception …
Deeply-supervised density regression for automatic cell counting in microscopy images
Accurately counting the number of cells in microscopy images is required in many medical
diagnosis and biological studies. This task is tedious, time-consuming, and prone to …
diagnosis and biological studies. This task is tedious, time-consuming, and prone to …
Approximating the ideal observer for joint signal detection and localization tasks by use of supervised learning methods
Medical imaging systems are commonly assessed and optimized by use of objective
measures of image quality (IQ). The Ideal Observer (IO) performance has been advocated to …
measures of image quality (IQ). The Ideal Observer (IO) performance has been advocated to …
Ideal observer computation by use of Markov-chain Monte Carlo with generative adversarial networks
Medical imaging systems are often evaluated and optimized via objective, or task-specific,
measures of image quality (IQ) that quantify the performance of an observer on a specific …
measures of image quality (IQ) that quantify the performance of an observer on a specific …
A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise
W Zhou, MP Eckstein - Medical Imaging 2022: Image …, 2022 - spiedigitallibrary.org
Humans process visual information with varying resolution (foveated visual system) and
explore images by orienting through eye movements the high-resolution fovea to points of …
explore images by orienting through eye movements the high-resolution fovea to points of …
Optimal visual search strategy with inter-saccade response correlations
W Zhou, MP Eckstein - Medical Imaging 2023: Image …, 2023 - spiedigitallibrary.org
Humans process the visual world with varying resolution across the visual field and sample
information using eye movements to point the high-resolution central vision (fovea) to …
information using eye movements to point the high-resolution central vision (fovea) to …
Task-aware denoising autoencoders for establishing efficient channels
W Zhou - Medical Imaging 2023: Image Perception, Observer …, 2023 - spiedigitallibrary.org
It has been suggested that medical imaging systems should be evaluated and optimized by
use of task-based measures of image quality (IQ). Task-based measures of IQ summarize …
use of task-based measures of image quality (IQ). Task-based measures of IQ summarize …
Deep Learning for Task-Based Image Quality Assessment in Medical Imaging
W Zhou - 2020 - search.proquest.com
It has been advocated to use objective measures of image quality (IQ) for assessing and
optimizing medical imaging systems. Objective measures of IQ quantify the performance of …
optimizing medical imaging systems. Objective measures of IQ quantify the performance of …
Deep Learning for Automatic Microscopy Image Analysis
S He - 2021 - search.proquest.com
Microscopy imaging techniques allow for the creation of detailed images of cells (or nuclei)
and have been widely employed for cell studies in biological research and disease …
and have been widely employed for cell studies in biological research and disease …