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O-MedAL: Online Active Deep Learning for Medical Image Analysis
v1v2 (latest)

O-MedAL: Online Active Deep Learning for Medical Image Analysis

28 August 2019
A. Smailagic
P. Costa
Alex Gaudio
Kartik Khandelwal
Mostafa Mirshekari
Jonathon Fagert
Devesh Walawalkar
Susu Xu
Adrian Galdran
Pei Zhang
A. Campilho
Hae Young Noh
    FedMLMedIm
ArXiv (abs)PDFHTML

Papers citing "O-MedAL: Online Active Deep Learning for Medical Image Analysis"

10 / 10 papers shown
Deep Bayesian Active Learning-to-Rank with Relative Annotation for
  Estimation of Ulcerative Colitis Severity
Deep Bayesian Active Learning-to-Rank with Relative Annotation for Estimation of Ulcerative Colitis Severity
T. Kadota
Hideaki Hayashi
Ryoma Bise
Kiyohito Tanaka
Seiichi Uchida
BDLMedIm
226
6
0
08 Sep 2024
ProtoAL: Interpretable Deep Active Learning with prototypes for medical
  imaging
ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging
Iury B. de A. Santos
André C.P.L.F. de Carvalho
MedIm
207
2
0
06 Apr 2024
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for
  Medical Image Segmentation and Classification
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification
Tao Wang
Xinlin Zhang
Yuanbo Zhou
Junlin Lan
Longxuan Zhao
Min Du
Qinquan Gao
Tong Tong
161
5
0
29 Jun 2023
On Principal Curve-Based Classifiers and Similarity-Based Selective
  Sampling in Time-Series
On Principal Curve-Based Classifiers and Similarity-Based Selective Sampling in Time-Series
Aref Hakimzadeh
K. Ziarati
M. Taheri
AI4TS
185
0
0
10 Apr 2022
Continual Active Learning Using Pseudo-Domains for Limited Labelling
  Resources and Changing Acquisition Characteristics
Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics
Matthias Perkonigg
J. Hofmanninger
Christian Herold
H. Prosch
Georg Langs
OOD
188
6
0
25 Nov 2021
Robust Framework for COVID-19 Identification from a Multicenter Dataset
  of Chest CT Scans
Robust Framework for COVID-19 Identification from a Multicenter Dataset of Chest CT Scans
Sadaf Khademi
Shahin Heidarian
Parnian Afshar
Nastaran Enshaei
F. Naderkhani
...
A. Oikonomou
A. Shafiee
Faranak Babaki Fard
Konstantinos N. Plataniotis
Arash Mohammadi
OOD
278
0
0
19 Sep 2021
A Survey of Deep Active Learning
A Survey of Deep Active LearningACM Computing Surveys (ACM CSUR), 2020
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
502
1,406
0
30 Aug 2020
SoQal: Selective Oracle Questioning in Active Learning
SoQal: Selective Oracle Questioning in Active Learning
Dani Kiyasseh
T. Zhu
David Clifton
180
0
0
22 Apr 2020
CLOPS: Continual Learning of Physiological Signals
CLOPS: Continual Learning of Physiological Signals
Dani Kiyasseh
T. Zhu
David Clifton
260
7
0
20 Apr 2020
SoQal: Selective Oracle Questioning for Consistency Based Active
  Learning of Cardiac Signals
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac SignalsInternational Conference on Machine Learning (ICML), 2020
Dani Kiyasseh
T. Zhu
David Clifton
202
2
0
20 Apr 2020
1
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