Improved U-Net based on contour prediction for efficient segmentation of rectal cancer

Volume: 213, Pages: 106493 - 106493
Published: Jan 1, 2022
Abstract
Segmentation of rectal cancerous regions using 2D Magnetic Resonance Imaging (MRI) images is a critical step in radiation therapy. The shape of rectal cancer has significant variations and the shape of some surrounding organs is similar to that of rectal cancer; these conditions significantly affect the segmentation accuracy of rectal cancer and lead to incorrect segmentation. Therefore, automatic segmentation of rectal cancer is urgently...
Paper Details
Title
Improved U-Net based on contour prediction for efficient segmentation of rectal cancer
Published Date
Jan 1, 2022
Volume
213
Pages
106493 - 106493
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