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Understanding differences in applying DETR to natural and medical images

Understanding differences in applying DETR to natural and medical images

27 May 2024
Yanqi Xu
Yiqiu Shen
C. Fernandez‐Granda
Laura Heacock
Krzysztof J. Geras
    MedIm
ArXivPDFHTML

Papers citing "Understanding differences in applying DETR to natural and medical images"

5 / 5 papers shown
Title
High-resolution synthesis of high-density breast mammograms: Application
  to improved fairness in deep learning based mass detection
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
Lidia Garrucho
Kaisar Kushibar
Richard Osuala
Oliver Díaz
Alessandro Catanese
Javier del Riego
Maciej Bobowicz
Fredrik Strand
Laura Igual
Karim Lekadir
MedIm
22
18
0
20 Sep 2022
A graph-transformer for whole slide image classification
A graph-transformer for whole slide image classification
Yi Zheng
R. Gindra
Emily J. Green
E. Burks
Margrit Betke
J. Beane
V. Kolachalama
MedIm
34
120
0
19 May 2022
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Shilong Liu
Feng Li
Hao Zhang
X. Yang
Xianbiao Qi
Hang Su
Jun Zhu
Lei Zhang
ViT
138
728
0
28 Jan 2022
Lymph Node Detection in T2 MRI with Transformers
Lymph Node Detection in T2 MRI with Transformers
T. Mathai
Sungwon Lee
Daniel C. Elton
Thomas C. Shen
Yifan Peng
Zhiyong Lu
Ronald M. Summers
MedIm
62
19
0
09 Nov 2021
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
281
36,178
0
08 Jun 2015
1