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Non-negative Subspace Feature Representation for Few-shot Learning in
  Medical Imaging

Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging

3 April 2024
Keqiang Fan
Xiaohao Cai
M. Niranjan
ArXivPDFHTML

Papers citing "Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging"

4 / 4 papers shown
Title
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D
  biomedical image classification
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang
Rui Shi
D. Wei
Zequan Liu
Lin Zhao
B. Ke
Hanspeter Pfister
Bingbing Ni
VLM
197
654
0
27 Oct 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,505
0
23 Jan 2020
DeepLesion: Automated Deep Mining, Categorization and Detection of
  Significant Radiology Image Findings using Large-Scale Clinical Lesion
  Annotations
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations
Ke Yan
Xiaosong Wang
Le Lu
Ronald M. Summers
MedIm
41
55
0
04 Oct 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
416
11,715
0
09 Mar 2017
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