CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement

18 July 2018

Papers citing "CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement"

7 / 7 papers shown

Title
Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment Kazi Shahriar Sanjid Md. Tanzim Hossain Md. Shakib Shahariar Junayed M. M. Uddin Mamba 43 2 0 26 Apr 2024
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss Youbao Tang Jinzheng Cai K. Yan Lingyun Huang Guotong Xie Jing Xiao Jingjing Lu Gigin Lin Le Lu 47 25 0 03 May 2021
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 22 751 0 27 Aug 2019
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation Youbao Tang Yuxing Tang Jing Xiao Ronald M. Summers 17 119 0 19 Apr 2019
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 31 1,370 0 19 Sep 2018
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation D. Jin Ziyue Xu Youbao Tang Adam P. Harrison D. Mollura MedIm 55 185 0 11 Jun 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 198 5,176 0 16 Sep 2016