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Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism
  Detection

Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection

15 September 2021
N. Islam
S. Gehlot
Zongwei Zhou
Michael B. Gotway
Jianming Liang
    OOD
ArXivPDFHTML

Papers citing "Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection"

9 / 9 papers shown
Title
Abnormality-Driven Representation Learning for Radiology Imaging
Abnormality-Driven Representation Learning for Radiology Imaging
M. Ligero
Tim Lenz
Georg Wolflein
Omar S. M. El Nahhas
Daniel Truhn
Jakob Nikolas Kather
MedIm
88
0
0
25 Nov 2024
Exploiting Structural Consistency of Chest Anatomy for Unsupervised
  Anomaly Detection in Radiography Images
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
Tiange Xiang
Yixiao Zhang
Yongyi Lu
Alan L. Yuille
Chaoyi Zhang
Weidong Cai
Zongwei Zhou
31
3
0
13 Mar 2024
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic
  Tasks with Radiological Images
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images
Blake Vanberlo
Jesse Hoey
Alexander Wong
SSL
LM&MA
18
2
0
05 Sep 2023
Video Pretraining Advances 3D Deep Learning on Chest CT Tasks
Video Pretraining Advances 3D Deep Learning on Chest CT Tasks
Alexander Ke
Shih-Cheng Huang
Chloe P. O'Connell
M. Klimont
Serena Yeung
Pranav Rajpurkar
19
7
0
02 Apr 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
E. Ahn
Da-wei Feng
Jinman Kim
MedIm
24
27
0
10 Feb 2023
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
284
1,524
0
27 Feb 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
286
10,613
0
19 Feb 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
1