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Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases

Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases

23 June 2019
Amit Kumar Jaiswal
Ivan Panshin
D. Shulkin
Nagender Aneja
Samuel Abramov
    SSL
    MedIm
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Papers citing "Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases"

6 / 6 papers shown
Title
Towards Label-efficient Automatic Diagnosis and Analysis: A
  Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised,
  Semi-supervised and Self-supervised Techniques in Histopathological Image
  Analysis
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
Linhao Qu
Siyu Liu
Xiaoyu Liu
Manning Wang
Zhijian Song
28
57
0
18 Aug 2022
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer
  Learning in Gridded Geo-Spatial Processes
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
Christian Eichenberger
M. Neun
Henry Martin
Pedro Herruzo
M. Spanring
...
Fei Tang
A. Gruca
Michael K Kopp
David P. Kreil
Sepp Hochreiter
48
19
0
31 Mar 2022
Solving Traffic4Cast Competition with U-Net and Temporal Domain
  Adaptation
Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation
V. Konyakhin
N. Lukashina
A. Shpilman
OOD
19
3
0
05 Nov 2021
Self-Path: Self-supervision for Classification of Pathology Images with
  Limited Annotations
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations
Navid Alemi Koohbanani
Balagopal Unnikrishnan
S. Khurram
Pavitra Krishnaswamy
Nasir M. Rajpoot
SSL
22
164
0
12 Aug 2020
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
208
1,020
0
26 Mar 2018
A Survey on Deep Learning in Medical Image Analysis
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
334
10,621
0
19 Feb 2017
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