Analysis of perceptual expertise in radiology–current knowledge and a new perspective
Radiologists rely principally on visual inspection to detect, describe, and classify findings in
medical images. As most interpretive errors in radiology are perceptual in nature …
medical images. As most interpretive errors in radiology are perceptual in nature …
[HTML][HTML] What do radiologists look for? Advances and limitations of perceptual learning in radiologic search
Supported by guidance from training during residency programs, radiologists learn clinically
relevant visual features by viewing thousands of medical images. Yet the precise visual …
relevant visual features by viewing thousands of medical images. Yet the precise visual …
Computational assessment of visual search strategies in volumetric medical images
When searching through volumetric images [eg, computed tomography (CT)], radiologists
appear to use two different search strategies:“drilling”(restrict eye movements to a small …
appear to use two different search strategies:“drilling”(restrict eye movements to a small …
The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review
Machine learning (ML) has revolutionized medical image-based diagnostics. In this review,
we cover a rapidly emerging field that can be potentially significantly impacted by ML–eye …
we cover a rapidly emerging field that can be potentially significantly impacted by ML–eye …
Comparative study of computational visual attention models on two-dimensional medical images
G Wen, B Rodriguez-Niño, FY Pecen… - Journal of Medical …, 2017 - spiedigitallibrary.org
Computational modeling of visual attention is an active area of research. These models
have been successfully employed in applications such as robotics. However, most …
have been successfully employed in applications such as robotics. However, most …
Deep-learning-based generation of synthetic 6-minute MRI from 2-minute MRI for use in head and neck cancer radiotherapy
Background Quick magnetic resonance imaging (MRI) scans with low contrast-to-noise ratio
are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with …
are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with …
Deep-Learning-Based Generation of Synthetic High-Resolution MRI from Low-Resolution MRI for Use in Head and Neck Cancer Adaptive Radiotherapy
Background Quick, low contrast resolution magnetic resonance imaging (MRI) scans are
typically acquired for daily MRI-guided radiotherapy setup. However, for patients with head …
typically acquired for daily MRI-guided radiotherapy setup. However, for patients with head …
Recognition of radiological decision errors from eye movement during chest x-ray readings
Eye tracking in combination with artificial intelligence is a develo** area of research with a
wide range of applications, as evidenced by the increasing number of studies being …
wide range of applications, as evidenced by the increasing number of studies being …
Conformal predictions in multimedia pattern recognition
VN Balasubramanian - ACM Sigmultimedia Records, 2011 - dl.acm.org
The field of multimedia pattern recognition is on a fundamental quest to design intelligent
systems that can learn and behave the way humans do. One important aspect of human …
systems that can learn and behave the way humans do. One important aspect of human …
[PDF][PDF] What do radiologists look for
Supported by guidance from training during residency programs, radiologists learn clinically
relevant visual features by viewing thousands of medical images. Yet the precise visual …
relevant visual features by viewing thousands of medical images. Yet the precise visual …