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2404.03451
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How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks
4 April 2024
Dongang Wang
Peilin Liu
Hengrui Wang
H. Beadnall
K. Kyle
L. Ly
Mariano Cabezas
Geng Zhan
Ryan Sullivan
Tom Weidong Cai
Wanli Ouyang
Fernando Calamante
Michael Barnett
Chenyu Wang
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Papers citing
"How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks"
5 / 5 papers shown
Title
Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns
Javier Gamazo Tejero
M. Zinkernagel
Sebastian Wolf
Raphael Sznitman
Pablo Márquez-Neila
33
4
0
21 Mar 2023
Training from Zero: Radio Frequency Machine Learning Data Quantity Forecasting
IV WilliamH.Clark
Alan J. Michaels
8
2
0
07 May 2022
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
278
10,599
0
19 Feb 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,445
0
18 May 2015
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
282
39,170
0
01 Sep 2014
1