Results 11 to 20 of about 8,221,919 (357)
Radiographic image interpretation by Australian radiographers: a systematic review
Introduction Radiographer image evaluation methods such as the preliminary image evaluation (PIE), a formal comment describing radiographers’ findings in radiological images, are embedded in the contemporary radiographer role within Australia.
Andrew Murphy +3 more
doaj +2 more sources
Impact of human and artificial intelligence collaboration on workload reduction in medical image interpretation. [PDF]
Clinicians face increasing workloads in medical imaging interpretation, and artificial intelligence (AI) offers potential relief. This meta-analysis evaluates the impact of human-AI collaboration on image interpretation workload.
Chen M +7 more
europepmc +2 more sources
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID
The past years have witnessed great progress on remote sensing (RS) image interpretation and its wide applications. With RS images becoming more accessible than ever before, there is an increasing demand for the automatic interpretation of these images ...
Yang Long +7 more
semanticscholar +1 more source
Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation
The rapid development of deep learning brings effective solutions for remote sensing image interpretation. Training deep neural network models usually require a large number of manually labeled samples. However, there is a limitation to obtain sufficient
Xian Sun +5 more
semanticscholar +1 more source
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation. [PDF]
As applications of AI in medicine continue to expand, there is an increasing focus on integration into clinical practice. An underappreciated aspect of this clinical translation is where the AI fits into the clinical workflow, and in turn, the outputs ...
McNamara SL, Yi PH, Lotter W.
europepmc +2 more sources
Remote Sensing Image Interpretation With Semantic Graph-Based Methods: A Survey
With the significant improvements in Earth observation (EO) technologies, remote sensing (RS) data exhibit the typical characteristics of Big Data.
Shengtao Sun +5 more
semanticscholar +1 more source
Self-Matching CAM: A Novel Accurate Visual Explanation of CNNs for SAR Image Interpretation
Synthetic aperture radar (SAR) image interpretation has long been an important but challenging task in SAR imaging processing. Generally, SAR image interpretation comprises complex procedures including filtering, feature extraction, image segmentation ...
Zhenpeng Feng +3 more
semanticscholar +1 more source
Deep learning has enabled automated medical image interpretation at a level often surpassing that of practicing medical experts. However, many clinical practices have cited a lack of model interpretability as reason to delay the use of "black-box" deep ...
A. Saporta +11 more
semanticscholar +1 more source
In this article, we introduce the 2020 Gaofen Challenge and relevant scientific outcomes. The 2020 Gaofen Challenge is an international competition, which is organized by the China High-Resolution Earth Observation Conference Committee and the Aerospace ...
Xian Sun +17 more
semanticscholar +1 more source
To study how radiologists’ perceived ability to interpret digital mammography (DM) images is affected by decreases in image quality. One view from 45 DM cases (including 30 cancers) was degraded to six levels each of two acquisition-related issues (lower
J. Boita +24 more
semanticscholar +1 more source

