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Universal Lesion Detection by Learning from Multiple Heterogeneously
  Labeled Datasets

Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets

28 May 2020
K. Yan
Jinzheng Cai
Adam P. Harrison
D. Jin
Jing Xiao
Le Lu
ArXiv (abs)PDFHTML

Papers citing "Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets"

8 / 8 papers shown
Universal and Extensible Language-Vision Models for Organ Segmentation
  and Tumor Detection from Abdominal Computed Tomography
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography
Jie Liu
Yixiao Zhang
Kang Wang
Mehmet Can Yavuz
Xiaoxi Chen
...
Haoliang Li
Yang Yang
Yaoyao Liu
Yucheng Tang
Zongwei Zhou
MedImVLM
362
49
0
28 May 2024
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three WeeksNeural Information Processing Systems (NeurIPS), 2023
Chongyu Qu
Tiezheng Zhang
Hualin Qiao
Jie Liu
Yucheng Tang
Alan Yuille
Zongwei Zhou
541
72
0
16 May 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
CLIP-Driven Universal Model for Organ Segmentation and Tumor DetectionIEEE International Conference on Computer Vision (ICCV), 2023
Jie Liu
Yixiao Zhang
Jieneng Chen
Junfei Xiao
Yongyi Lu
Bennett A. Landman
Yixuan Yuan
Alan Yuille
Yucheng Tang
Zongwei Zhou
VLMMedIm
761
330
0
02 Jan 2023
An Efficient Anchor-free Universal Lesion Detection in CT-scans
An Efficient Anchor-free Universal Lesion Detection in CT-scansIEEE International Symposium on Biomedical Imaging (ISBI), 2022
Manu Sheoran
Meghal Dani
Monika Sharma
Lovekesh Vig
MedIm
187
9
0
30 Mar 2022
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust
  Universal Lesion Detection
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion DetectionBritish Machine Vision Conference (BMVC), 2022
Manu Sheoran
Meghal Dani
Monika Sharma
Lovekesh Vig
201
7
0
14 Mar 2022
SparseDet: Improving Sparsely Annotated Object Detection with
  Pseudo-positive Mining
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive MiningIEEE International Conference on Computer Vision (ICCV), 2022
Saksham Suri
Sai Saketh Rambhatla
Rama Chellappa
Abhinav Shrivastava
ObjD
420
19
0
12 Jan 2022
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Label-Assemble: Leveraging Multiple Datasets with Partial LabelsIEEE International Symposium on Biomedical Imaging (ISBI), 2021
Mintong Kang
Bowen Li
Zengle Zhu
Yongyi Lu
Elliot K. Fishman
Alan Yuille
Zongwei Zhou
391
25
0
25 Sep 2021
A New Window Loss Function for Bone Fracture Detection and Localization
  in X-ray Images with Point-based Annotation
A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation
Xinyu Zhang
Yirui Wang
Chi-Tung Cheng
Le Lu
Adam P. Harrison
Jing Xiao
Chien-Hung Liao
S. Miao
MedIm
216
5
0
07 Dec 2020
1
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