Results 11 to 20 of about 9,617,317 (280)
Journal of Medical Radiation Sciences, 2019 Introduction Radiographers are at times required to provide preliminary information on plain radiography when significant findings are identified.
Imelda Williams +3 more
doaj +2 more sources
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation. [PDF]
NPJ Digit Med, 2023 As applications of AI in medicine continue to expand, there is an increasing focus on integration into clinical practice. An underappreciated aspect of 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
How does image quality affect radiologists' perceived ability for image interpretation and lesion detection in digital mammography? [PDF]
Eur Radiol, 2021 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
Boita J +13 more
europepmc +2 more sources
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 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
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 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
Remote Sensing Image Interpretation With Semantic Graph-Based Methods: A Survey
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 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
Remote Sensing, 2021 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
medRxiv, 2021 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
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 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
Journal of Cardiovascular Magnetic Resonance, 2020 With mounting data on its accuracy and prognostic value, cardiovascular magnetic resonance (CMR) is becoming an increasingly important diagnostic tool with growing utility in clinical routine.
J. Schulz-Menger +11 more
semanticscholar +1 more source