Comparative study of the methodologies used for subjective medical image quality assessment

L Lévêque, M Outtas, H Liu… - Physics in Medicine & …, 2021 - iopscience.iop.org
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 …

Deeply-supervised density regression for automatic cell counting in microscopy images

S He, KT Minn, L Solnica-Krezel, MA Anastasio… - Medical Image …, 2021 - Elsevier
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 …

Approximating the ideal observer for joint signal detection and localization tasks by use of supervised learning methods

W Zhou, H Li, MA Anastasio - IEEE transactions on medical …, 2020 - ieeexplore.ieee.org
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 …

Ideal observer computation by use of Markov-chain Monte Carlo with generative adversarial networks

W Zhou, U Villa, MA Anastasio - IEEE transactions on medical …, 2023 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

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 …

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 …