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Varifocal-Net: A Chromosome Classification Approach using Deep
  Convolutional Networks
v1v2v3v4 (latest)

Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks

13 October 2018
Yulei Qin
Juan Wen
Hao Zheng
Xiaolin Huang
Jie Yang
Ning-jing Song
Y. Zhu
Lingqian Wu
Guang-Zhong Yang
ArXiv (abs)PDFHTML

Papers citing "Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks"

13 / 13 papers shown
Title
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram
  Classification
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification
William Lotter
Greg Sorensen
David D. Cox
66
142
0
21 Jul 2017
Multi-scale Convolutional Neural Networks for Crowd Counting
Multi-scale Convolutional Neural Networks for Crowd Counting
Lingke Zeng
Xiangmin Xu
Bolun Cai
Suo Qiu
Tong Zhang
41
201
0
08 Feb 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
775
36,861
0
25 Aug 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
349
7,995
0
23 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
883
27,412
0
02 Dec 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
306
7,389
0
05 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
520
62,360
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
309
25,059
0
30 Apr 2015
Bilinear CNNs for Fine-grained Visual Recognition
Bilinear CNNs for Fine-grained Visual Recognition
Tsung-Yu Lin
Aruni RoyChowdhury
Subhransu Maji
133
1,875
0
29 Apr 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
326
18,647
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
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