X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable
Convolution and Long-range Dependencies

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies

16 July 2019

Cheng Li

Papers citing "X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies"

7 / 7 papers shown

Title
FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke Lesion Segmentation Weiyi Yu Yiming Lei Hongming Shan OOD MedIm 11 4 0 23 Apr 2023
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation Zhendi Gong Andrew P. French Guoping Qiu Xin Chen ViT MedIm 38 6 0 13 Oct 2022
BAGNet: Bidirectional Aware Guidance Network for Malignant Breast lesions Segmentation Gongping Chen Yuming Liu Yu Dai Jianxun Zhang Liang Cui Xiaotao Yin MedIm 30 7 0 28 Apr 2022
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images Zijie Chen Cheng Li Junjun He Jin Ye Diping Song Shanshan Wang Lixu Gu Yu Qiao 35 9 0 26 Sep 2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review Mingquan Lin Jacob F. Wynne Y. Lei Tonghe Wang W. Curran Tian Liu Xiaofeng Yang 35 24 0 25 Mar 2021
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images Yunzhe Xue F. Farhat Olga Boukrina A. Barrett J. Binder Usman Roshan William W. Graves MedIm 13 64 0 26 May 2019
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,645 0 02 Nov 2015