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FusionNet: A deep fully residual convolutional neural network for image
  segmentation in connectomics

FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

16 December 2016
Tran Minh Quan
David Grant Colburn Hildebrand
W. Jeong
ArXivPDFHTML

Papers citing "FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics"

5 / 5 papers shown
Title
Unsupervised Learning for Target Tracking and Background Subtraction in
  Satellite Imagery
Unsupervised Learning for Target Tracking and Background Subtraction in Satellite Imagery
Jonathan S. Kent
C. Wamsley
D. Flateau
A. Ferguson
SSL
26
3
0
13 Aug 2021
KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep
  Learning
KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep Learning
Tarin Clanuwat
Alex Lamb
A. Kitamoto
16
45
0
21 Oct 2019
GANPOP: Generative Adversarial Network Prediction of Optical Properties
  from Single Snapshot Wide-field Images
GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images
Mason T. Chen
Faisal Mahmood
Jordan A. Sweer
Nicholas J. Durr
21
32
0
12 Jun 2019
AUNet: Attention-guided dense-upsampling networks for breast mass
  segmentation in whole mammograms
AUNet: Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms
Hui Sun
Cheng Li
Boqiang Liu
Hairong Zheng
David Dagan Feng
Shanshan Wang
27
120
0
24 Oct 2018
Constrained-CNN losses for weakly supervised segmentation
Constrained-CNN losses for weakly supervised segmentation
H. Kervadec
Jose Dolz
Meng Tang
Eric Granger
Yuri Boykov
Ismail Ben Ayed
27
239
0
12 May 2018
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