Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST

25 January 2018

Papers citing "Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST"

7 / 7 papers shown

Title
Weakly Supervised Few-Shot Segmentation Via Meta-Learning P. H. T. Gama Hugo Oliveira J. M. Junior J. D. Santos VLM 19 19 0 03 Sep 2021
Weakly supervised segmentation from extreme points H. Roth Ling Zhang Dong Yang Fausto Milletari Ziyue Xu Xiaosong Wang Daguang Xu 26 21 0 02 Oct 2019
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 9 750 0 27 Aug 2019
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST Jinzheng Cai Youbao Tang Le Lu Adam P. Harrison Ke Yan Jing Xiao L. Yang Ronald M. Summers MedIm 3DV 55 63 0 02 Jul 2018
Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks Youbao Tang Adam P. Harrison M. Bagheri Jing Xiao Ronald M. Summers MedIm 11 33 0 25 Jun 2018
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations Ke Yan Xiaosong Wang Le Lu Ronald M. Summers MedIm 39 55 0 04 Oct 2017
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 190 5,173 0 16 Sep 2016