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Automatic Lever Tumor Detection from CT

机译:从CT自动检测杠杆肿瘤

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This paper proposes an automatic system which can perform the entire diagnostic process from the ex- traction of the liver to the recognition of a tumor. In particular, the proposed technique uses shape information to identify and recognize a lesion adjacent to the border of the liver, which can otherwise be missed. Because such an area is concave like a bay, morphological operations can be used to find the bay. In addi- tion, since the intensity of a lesion can very greatly according to the patient and the slice taken, a decision on the threshold for ex- traction is not easy.
机译:本文提出了一种自动系统,该系统可以执行从肝脏摘除到肿瘤识别的整个诊断过程。特别地,所提出的技术使用形状信息来识别和识别与肝脏边界相邻的病变,否则该病变会被遗漏。由于这样的区域像海湾一样呈凹形,因此可以使用形态学运算来找到海湾。此外,由于病变的强度可以根据患者和所取切片的不同而有很大差异,因此决定提取阈值并不容易。

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