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Severity Assessment of Lymph Nodes in CT Images using Deep Learning Paradigm

机译:深度学习范式CT图像中淋巴结的严重性评估

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Cancer in lymph nodes occurs either in the nodes themselves or infuses from somewhere else. In these scenarios, the cancer assessment using image information may lead to valuable assistance to the radiologists. In this paper, the lymph nodes in computed tomography (CT) images are explored for assessing the severity of cancer on deep machine learning platform. The proposed system has an advantage of not working on features to achieve comparable or even better stratification of cancerous lymph nodes. Mediastinal lymph nodes are focused here due to their clinical importance to determine the metastasis.
机译:淋巴结中的癌症在节点中发生或从其他地方注入。在这些场景中,使用图像信息的癌症评估可能导致放射科学家的有价值的援助。在本文中,探讨了计算断层扫描(CT)图像中的淋巴结用于评估深层机器学习平台的癌症的严重程度。所提出的系统具有不适用于实现癌性淋巴结癌的可比性甚至更好的特征的优势。由于它们的临床重要性来确定转移,纵隔淋巴结在此集中在这里。

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