Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images

Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images

Abstract Background Renal cancer is one of the 10 most common cancers in human beings. The laparoscopic partial nephrectomy (LPN) is an effective way to treat renal cancer. Localization and delineation of the renal tumor from pre-operative CT Angiography (CTA) is an important step for LPN surgery pl...

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Bibliographic Details
Main Authors: Guanyu Yang, Chuanxia Wang, Jian Yang, Yang Chen, Lijun Tang, Pengfei Shao, Jean-Louis Dillenseger, Huazhong Shu, Limin Luo
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Medical Imaging
Subjects:
Weakly-supervised
Renal tumor segmentation
Bounding box
Convolutional neural network
Online Access:http://link.springer.com/article/10.1186/s12880-020-00435-w

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http://link.springer.com/article/10.1186/s12880-020-00435-w

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