output
19942023
most citedLearning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT

9 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2018Show all

3 papers · 1 filter

cs.CV2018★ 1 cited

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

Youbao Tang, Jinzheng Cai, Le Lu +5

Automated lesion segmentation from computed tomography (CT) is an important and challenging task in medical image analysis. While many advancements have been made, there is room fo…

cs.CV2018★ 5 cited

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 +5

Volumetric lesion segmentation from computed tomography (CT) images is a powerful means to precisely assess multiple time-point lesion/tumor changes. However, because manual 3D seg…

cs.CV2018★ 5 cited

Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks

Youbao Tang, Adam P. Harrison, Mohammadhadi Bagheri +2

Response evaluation criteria in solid tumors (RECIST) is the standard measurement for tumor extent to evaluate treatment responses in cancer patients. As such, RECIST annotations m…