AIMC Topic: Clavicle
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DeBoNet: A deep bone suppression model ensemble to improve disease detection in chest radiographs.
PloS one
Mar 31, 2022
Automatic detection of some pulmonary abnormalities using chest X-rays may be impacted adversely due to obscuring by bony structures like the ribs and the clavicles. Automated bone suppression methods would increase soft tissue visibility and enhance...
Separation of bones from soft tissue in chest radiographs: Anatomy-specific orientation-frequency-specific deep neural network convolution.
Medical physics
Mar 28, 2019
PURPOSE: Lung nodules that are missed by radiologists as well as by computer-aided detection (CAD) systems mostly overlap with ribs and clavicles. Removing the bony structures would result in better visualization of undetectable lesions. Our purpose ...
Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data.
IEEE journal of biomedical and health informatics
Sep 24, 2018
Age estimation from radiologic data is an important topic both in clinical medicine as well as in forensic applications, where it is used to assess unknown chronological age or to discriminate minors from adults. In this paper, we propose an automati...
Comparative analysis of clinical relevance and accuracy in AI-assisted patient consultations on ankle and clavicle fracture surgeries.
Injury
Jul 1, 2025
BACKGROUND: It is becoming increasingly important to evaluate the effectiveness of large language models (LLMs) and query-assisted platforms like Google and ChatGPT in providing clinically relevant and accurate information to patient-initiated inquir...
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