[HTML][HTML] Image quality assessment for machine learning tasks using meta-reinforcement learning

SU Saeed, Y Fu, V Stavrinides, ZMC Baum… - Medical Image …, 2022 - Elsevier
In this paper, we consider image quality assessment (IQA) as a measure of how images are
amenable with respect to a given downstream task, or task amenability. When the task is …

[HTML][HTML] Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound

H Zhao, Q Zheng, C Teng, R Yasrab, L Drukker… - Medical Image …, 2023 - Elsevier
In obstetric sonography, the quality of acquisition of ultrasound scan video is crucial for
accurate (manual or automated) biometric measurement and fetal health assessment …

In search of basement indicators from street view imagery data: An investigation of data sources and analysis strategies

AV Vo, M Bertolotto, U Ofterdinger, DF Laefer - KI-Künstliche Intelligenz, 2023 - Springer
Street view imagery databases such as Google Street View, Mapillary, and Karta View
provide great spatial and temporal coverage for many cities globally. Those data, when …

Competing for pixels: a self-play algorithm for weakly-supervised semantic segmentation

SU Saeed, S Huang, J Ramalhinho… - … on Pattern Analysis …, 2024 - ieeexplore.ieee.org
Weakly-supervised semantic segmentation (WSSS) methods, reliant on image-level labels
indicating object presence, lack explicit correspondence between labels and regions of …

An improved blind/referenceless image spatial quality evaluator algorithm for image quality assessment

X Li, J Pan, J Shang, A Souri… - International Journal of …, 2024 - inderscienceonline.com
Image quality assessment (IQA) methods are generally studied in the spatial or transform
domain. Due to the BRISQUE algorithm evaluating the quality of an image only based on its …

Task model-specific operator skill assessment in routine fetal ultrasound scanning

Y Wang, Q Yang, L Drukker, A Papageorghiou… - International Journal of …, 2022 - Springer
Purpose For highly operator-dependent ultrasound scanning, skill assessment approaches
evaluate operator competence given available data, such as acquired images and tracked …

Towards unsupervised ultrasound video clinical quality assessment with multi-modality data

H Zhao, Q Zheng, C Teng, R Yasrab, L Drukker… - … Conference on Medical …, 2022 - Springer
Video quality assurance is an important topic in obstetric ultrasound imaging to ensure that
captured videos are suitable for biometry and fetal health assessment. Previously, one …

Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation

SU Saeed, W Yan, Y Fu, F Giganti, Q Yang… - arXiv preprint arXiv …, 2022 - arxiv.org
Image quality assessment (IQA) in medical imaging can be used to ensure that downstream
clinical tasks can be reliably performed. Quantifying the impact of an image on the specific …

Adaptable image quality assessment using meta-reinforcement learning of task amenability

SU Saeed, Y Fu, V Stavrinides, ZMC Baum… - … Workshop, ASMUS 2021 …, 2021 - Springer
The performance of many medical image analysis tasks are strongly associated with image
data quality. When developing modern deep learning algorithms, rather than relying on …

A kernel density estimation based quality metric for quality assessment of obstetric ultrasound video

J Kwon, J Jiao, A Self, J Alison Noble… - … on Trustworthy Machine …, 2023 - Springer
Simplified ultrasound scanning protocols (sweeps) have been developed to reduce the high
skill required to perform a regular obstetric ultrasound examination. However, without …