In this paper we propose a Purified Residual U-net for the segmentation of brain tissue. This model encodes the image to obtain deep semantic information.
This model encodes the image to obtain deep semantic information and purifies the information of low-level features and the residual unit from the image, and�...
This model encodes the image to obtain deep semantic information and purifies the information of low-level features and the residual unit from the image, and�...
This model encodes the image to obtain deep semantic information and purifies the information of low-level features and the residual unit from the image, and�...
People also ask
What is segmentation of brain tissue?
What is brain lesion segmentation?
P-ResUnet: Segmentation of brain tissue with Purified Residual Unet. https://doi.org/10.1016/j.compbiomed.2022.106294 �. Journal: Computers in Biology and�...
A Fully Convolutional Neural Network (FCN) tool, that is a hybrid of two widely used deep learning segmentation architectures SegNet and U-Net, for improved�...
P-ResUnet: Segmentation of brain tissue with Purified Residual Unet. Niu, K; Guo, Z; Peng, X; Pei, S. 2021-01-01, Readmission Prediction�...
Apr 27, 2024 � Niu K, Guo Z, Peng X, and Pei S P-ResUnet: segmentation of brain tissue with purified residual unet Comput Biol Med 2022. Digital Library.
Jul 14, 2023 � Pei, ''P-ResUnet: Segmentation of brain tissue with purified residual Unet,'' Comput. Biol. Med., vol. 151,. Dec. 2022, Art. no. 106294, doi�...
P-ResUnet: Segmentation of brain tissue with Purified Residual Unet. Article. Nov 2022; COMPUT BIOL MED. Ke Niu � Zhongmin Guo�...