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- W4308574768 abstract "Osteomyelitis of the jaw (OMJ) is a disease caused by bacterial infection of the bone marrow in the jaw. It causes pain, bone exposure, and osteonecrosis as the inflammation spreads. It is difficult to determine the area of OMJ bone on pre-operative images (e.g. MRI, CT) that must be removed by surgical procedures. A non-invasive OMJ area recognition system is expected to reduce the time for pre-operative surgical planning, and also it has possibility of early diagnosis of osteonecrosis of jaw. In this study, we combined Contrastive Learning and Support Vector Machine to segment OMJ area from preoperative CT images through patch based normal/OMJ classification. The proposed method estimates the detailed OMJ area semi-automatically, which means that the proposed method use a part of OMJ area for training that a doctor can recognize easily on the CT image. In the experiment, we employed 5,932 normal patches and 682 OMJ patches of 9 patients. As the result, the proposed method improved the F value of OMJ area estimation from 0.729 to 0.916." @default.
- W4308574768 created "2022-11-12" @default.
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- W4308574768 date "2022-10-11" @default.
- W4308574768 modified "2023-10-18" @default.
- W4308574768 title "Automatic Osteomyelitis Area Estimation in Head CT Using Contrastive Learning" @default.
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- W4308574768 doi "https://doi.org/10.23919/wac55640.2022.9934505" @default.
- W4308574768 hasPublicationYear "2022" @default.
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