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Reducing Annotation Need in Self-Explanatory Models for Lung Nodule
  Diagnosis

Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis

27 June 2022
Jiahao Lu
Chong Yin
Oswin Krause
Kenny Erleben
M. B. Nielsen
S. Darkner
    MedIm
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Papers citing "Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis"

4 / 4 papers shown
Title
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis
Jiahao Lu
Chong Yin
Silvia Ingala
Kenny Erleben
M. Nielsen
S. Darkner
51
0
0
27 Apr 2025
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule
  Diagnosis
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis
Jiahao Lu
Chong Yin
Kenny Erleben
M. B. Nielsen
S. Darkner
24
1
0
28 Oct 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,785
0
29 Apr 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
1