Details

Autor(en) / Beteiligte

• Sui, Dong
• Zhang, Yimeng
• Li, Zhaoxin
• Zhao, Guangzhe
• Wang, Yantao
• Zhang, Rui
• Wu, Qiufeng
• Zhang, Lei

Titel

CSM-Net: A Multi-Task Colorectal Cancer Analysis Framework

Ist Teil von

• Sensing and imaging, 2020-12, Vol.21 (1), Article 42

Ort / Verlag

New York: Springer US

Erscheinungsjahr

2020

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Colorectal cancer is the second leading cause of cancer mortality before 2020, in this paper, we propose a simple yet efficient anchor-free instance segmentation framework, Colorectal Spatial Mask Network, aiming at jointly detecting and segmenting the tumor region in colorectal cancer MRI image series. we add a novel spatial attention-guided mask branch to anchor-free one stage object detector into the framework with the same way in Mask R-CNN. In addition, we also employ an improved network VoVNetV2 as the new backbone network. After comparison with the state-of-the-arts methods, the results of experiments reveal that our framework can get well balance between speed and accuracy.