Prior knowledge enhanced random walk for lung tumor segmentation from low-contrast CT images

The separation of a lung tumor from adjacent normal tissue, which has similar intensity values and indistinct boundaries on low-contrast CT images is a challenging task. In this paper, a prior knowledge enhanced random walk (RW) is proposed to account for the prior functional knowledge from PET and...

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Hauptverfasser:	Hui Cui, Xiuying Wang, Fulham, Michael, Feng, David Dagan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithms Cancer Computed tomography Contrast Media Humans Image Processing, Computer-Assisted Image segmentation Legged locomotion Lung Neoplasms - diagnosis Lung Neoplasms - diagnostic imaging Lungs Multimodal Imaging Positron emission tomography Radiographic Image Interpretation, Computer-Assisted Software Tomography, X-Ray Computed Tumors
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