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Identification of abnormal tissue from CT images using improved ResNet34
Naoya Honda,Tohru Kamiya,Shoji Kido 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
In recent years, CT examinations have been widely used as a screening method to detect lung cancer. However, reading enormous CT images become a heavy burden to the physician. To avoid this problem, computer-aided diagnosis systems have been introduced on CT screening. In general, physicians consider patient information in addition to image information when they make a diagnosis, new efforts are being made to improve the accuracy of diagnosis by mimicking this information with a machine. In this paper, we propose a method for identifying pulmonary nodules by adding medical record information to images to improve the accuracy of diagnosis. We classify nodules from unknown data by assigning branching information of vascular opacities, straight vascular shadows, and nodular shadows as labeled image, which are a cause of misrecognition based on image features in machine learning. In the experiment, the classification accuracy of the nodule class was improved by adding clinical information to 644 images including 161 nodal images.
Keiichi Nakahara,Satoshi Yamashita,Katsumasa Ideo,Seigo Shindo,Tomohiro Suga,Akihiko Ueda,Shoji Honda,Tomoo Hirahara,Masaki Watanabe,Taro Yamashita,Yasushi Maeda,Yasuhiro Yonemochi,Tomohiro Takita,Yuk 대한신경과학회 2014 Journal of Clinical Neurology Vol.10 No.4
Background Listeria monocytogenes (L. monocytogenes) is a rare causative pathogen ofbrain abscess that is often found in immunocompromised patients. Although patients with supratentorial listerial abscesses showed a longer survival with surgical drainage, the standardtherapy for patients with subtentorial lesions has not been established. Case Report We report herein a patient with supra- and subtentorial brain abscesses causedby L. monocytogenes infection. These abscesses did not respond to antibiotics, and his symptoms gradually worsened. Drainage was not indicated for subtentorial lesions, and the patientwas additionally treated with hyperbaric oxygen therapy, which dramatically reduced the volume of abscesses and improved the symptoms. Conclusions This is the first report of drastic therapy for a patient with listerial brain abscesses involving combined antibiotics and hyperbaric oxygen therapy. The findings suggestthat hyperbaric oxygen therapy is a good option for treating patients with deep-seated listerialabscesses and for who surgical drainage is not indicated.