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1806.01963
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MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images
5 June 2018
S. Graham
Hao Chen
Jevgenij Gamper
Qi Dou
Pheng-Ann Heng
David R. J. Snead
Yee Wah Tsang
Nasir M. Rajpoot
MedIm
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Papers citing
"MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images"
22 / 22 papers shown
Title
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization
Shengchun Xiong
Xiangru Li
Yunpeng Zhong
Wanfen Peng
245
1
0
08 May 2025
UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
Linshan Wu
Yuxiang Nie
Sunan He
Jiaxin Zhuang
Hao Chen
...
V. Vardhanabhuti
R. Chan
Yifan Peng
Pranav Rajpurkar
Hao Chen
LM&MA
MedIm
158
0
0
30 Apr 2025
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
174
4,596
0
26 Oct 2017
Deep Learning for Medical Image Analysis
Mina Rezaei
Haojin Yang
Christoph Meinel
75
2,060
0
17 Aug 2017
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images
Huangjing Lin
Hao Chen
Qi Dou
Liansheng Wang
J. Qin
Pheng-Ann Heng
MedIm
53
80
0
30 Jul 2017
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
Ling Yang
Yizhe Zhang
Jianxu Chen
Siyuan Zhang
Danny Chen
MedIm
71
504
0
15 Jun 2017
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues
Talha Qaiser
A. Mukherjee
Chaitanya Reddy Pb
Sai Dileep Munugoti
Vamsi Tallam
...
G. Bueno
David R. J. Snead
I. Ellis
M. Ilyas
Nasir M. Rajpoot
39
121
0
23 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
354
4,705
0
15 Mar 2017
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
663
10,779
0
19 Feb 2017
Gland Instance Segmentation Using Deep Multichannel Neural Networks
Yan Xu
Yang Li
Yipei Wang
Mingyuan Liu
Yubo Fan
M. Lai
E. Chang
MedIm
66
164
0
21 Nov 2016
Gland Instance Segmentation by Deep Multichannel Side Supervision
Yan Xu
Yang Li
Mingyuan Liu
Yipei Wang
M. Lai
E. Chang
MedIm
62
109
0
12 Jul 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
251
18,232
0
02 Jun 2016
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
433
18,350
0
27 May 2016
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
741
37,846
0
20 May 2016
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Hao Chen
Xiaojuan Qi
Lequan Yu
Pheng-Ann Heng
MedIm
67
581
0
10 Apr 2016
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest
K. Sirinukunwattana
J. Pluim
Hao Chen
Xiaojuan Qi
Pheng-Ann Heng
...
Philipp Kainz
Michael Pfeiffer
M. Urschler
David R. J. Snead
Nasir M. Rajpoot
94
797
0
01 Mar 2016
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
268
8,442
0
23 Nov 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall
Vijay Badrinarayanan
R. Cipolla
UQCV
BDL
86
1,065
0
09 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.1K
15,802
0
02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
821
9,318
0
06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,133
0
18 May 2015
Assessment of algorithms for mitosis detection in breast cancer histopathology images
M. Veta
P. Diest
S. Willems
Haibo Wang
A. Madabhushi
...
Nasir M. Rajpoot
E. Arkoumani
M. Laclé
M. Viergever
J. Pluim
61
431
0
21 Nov 2014
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