DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

Type: Preprint

Publication Date: 2016-01-01

Citations: 129

DOI: https://doi.org/10.48550/arxiv.1604.02677

Locations

  • arXiv (Cornell University) - View
  • DataCite API - View

Similar Works

Action Title Year Authors
+ PDF Chat DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation 2016 Hao Chen
Xiaojuan Qi
Lequan Yu
Pheng‐Ann Heng
+ TA-Net: Topology-Aware Network for Gland Segmentation 2022 Haotian Wang
Min Xian
Aleksandar Vakanski
+ TA-Net: Topology-Aware Network for Gland Segmentation 2021 Haotian Wang
Min Xian
Aleksandar Vakanski
+ Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping 2023 Qixiang Zhang
Yi Li
Cheng Xue
Xiaomeng Li
+ CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation 2019 Yanning Zhou
Omer Fahri Onder
Qi Dou
Efstratios Tsougenis
Hao Chen
Pheng‐Ann Heng
+ Pairwise Relation Learning for Semi-supervised Gland Segmentation 2020 Yutong Xie
Jianpeng Zhang
Zhibin Liao
Chunhua Shen
Johan Verjans
Yong Xia
+ Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas 2021 Pierpaolo Vendittelli
E. Smeets
Geert Litjens
+ Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images 2021 Haotian Wang
Aleksandar Vakanski
Changfa Shi
Min Xian
+ PDF Chat Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas. 2022 Pierpaolo Vendittelli
E. Smeets
Geert Litjens
+ PDF Chat Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images 2024 Haotian Wang
Aleksandar Vakanski
Changfa Shi
Min Xian
+ PDF Chat Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation 2022 Nikhil Cherian Kurian
Amit Lehan
Gregory Verghese
Nimish Dharamshi
Swati Meena
Mengyuan Li
Fangfang Liu
Cheryl Gillet
Swapnil Rane
Anita Grigoriadis
+ DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images 2022 Yilong Li
Yaqi Wang
Huiyu Zhou
Huaqiong Wang
Gangyong Jia
Qianni Zhang
+ PDF Chat Gland Instance Segmentation Using Deep Multichannel Neural Networks 2017 Yan Xu
Yang Li
Yipei Wang
Mingyuan Liu
Yubo Fan
Maode Lai
Eric Chang
+ Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation 2022 Nikhil Cherian Kurian
Amit Lohan
Gregory Verghese
Nimish Dharamshi
Swati Meena
Mengyuan Li
Fangfang Liu
Cheryl Gillet
Swapnil Rane
Anita Grigoriadis
+ PDF Chat A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images 2019 Yuxin Cui
Guiying Zhang
Zhonghao Liu
Zheng Xiong
Jianjun Hu
+ Nuclei & Glands Instance Segmentation in Histology Images: A Narrative Review 2022 Esha Sadia Nasir
Arshi Perviaz
Muhammad Moazam Fraz
+ PDF Chat CellPilot: A unified approach to automatic and interactive segmentation in histopathology 2024 Philipp Endres
Valentin Koch
Julia Schnabel
Carsten Marr
+ Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images 2022 Yi Li
Yiduo Yu
Yiwen Zou
Tianqi Xiang
Xiaomeng Li
+ PDF Chat HistoSeg: Quick attention with multi-loss function for multi-structure segmentation in digital histology images 2022 Saad Wazir
Muhammad Moazam Fraz
+ PDF Chat Gland Segmentation Using SAM With Cancer Grade as a Prompt 2025 Yijie Zhu
Shan E Ahmed Raza

Works That Cite This (45)

Action Title Year Authors
+ PDF Chat Cell Detection with Star-Convex Polygons 2018 Uwe Schmidt
Martin Weigert
Coleman Broaddus
Gene Myers
+ PDF Chat MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images 2018 Simon Graham
Hao Chen
Jevgenij Gamper
Qi Dou
Pheng‐Ann Heng
David Snead
Yee Wah Tsang
Nasir Rajpoot
+ PDF Chat Deeply-supervised CNN for prostate segmentation 2017 Qikui Zhu
Bo Du
Barış Türkbey
Peter L. Choyke
Pingkun Yan
+ PDF Chat Multi-branch convolutional neural network for multiple sclerosis lesion segmentation 2019 Shahab Aslani
Michael Dayan
Loredana Storelli
Massimo Filippi
Vittorio Murino
Maria A. Rocca
Diego Sona
+ PDF Chat A survey on deep learning in medical image analysis 2017 Geert Litjens
Thijs Kooi
Babak Ehteshami Bejnordi
Arnaud Arindra Adiyoso Setio
Francesco Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
Clara I. Sá‎nchez
+ Quantization of Deep Neural Networks for Accurate Edge Computing 2021 Wentao Chen
Hailong Qiu
Jian Zhuang
Chutong Zhang
Yu Hen Hu
Qing Lu
Tianchen Wang
Yiyu Shi
Meiping Huang
XU Xiao-we
+ GANs for Medical Image Analysis 2018 Salome Kazeminia
Christoph Baur
Arjan Kuijper
Bram van Ginneken
Nassir Navab
Shadi Albarqouni
Anirban Mukhopadhyay
+ Deep Learning for identifying radiogenomic associations in breast cancer 2017 Zhe Zhu
Ehab A. AlBadawy
Ashirbani Saha
Jun Zhang
Michael R. Harowicz
Maciej A. Mazurowski
+ 3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes 2016 Qi Dou
Hao Chen
Yueming Jin
Lequan Yu
Jing Qin
Pheng‐Ann Heng
+ PDF Chat An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA 2018 Jingxin Liu
Bolei Xu
Chi Zheng
Yuanhao Gong
Jonathan M. Garibaldi
Daniele Soria
Andrew R. Green
Ian O. Ellis
Wenbin Zou
Guoping Qiu

Works Cited by This (13)

Action Title Year Authors
+ PDF Chat BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation 2015 Jifeng Dai
Kaiming He
Jian Sun
+ PDF Chat High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and Its Applications to High-Level Vision 2015 Gedas Bertasius
Jianbo Shi
Lorenzo Torresani
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
+ Improving neural networks by preventing co-adaptation of feature detectors 2012 Geoffrey E. Hinton
Nitish Srivastava
Alex Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
+ Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs 2014 Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
+ Deeply-Supervised Nets 2014 Chen‐Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
+ Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning 2016 Hoo-Chang Shin
Holger R. Roth
Mingchen Gao
Le LĂź
Ziyue Xu
Isabella Nogues
Jianhua Yao
Daniel J. Mollura
Ronald M. Summers
+ Caffe: Convolutional Architecture for Fast Feature Embedding 2014 Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross Girshick
Sergio Guadarrama
Trevor Darrell
+ Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest 2016 Korsuk Sirinukunwattana
Josien P. W. Pluim
Hao Chen
Xiaojuan Qi
Pheng‐Ann Heng
Yun Guo
Li Yang Wang
Bogdan J. Matuszewski
Elia Bruni
Urko Sanchez