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Gastric histopathology image segmentation using a hierarchical
  conditional random field

Gastric histopathology image segmentation using a hierarchical conditional random field

3 March 2020
Changhao Sun
Chen Li
Jinghua Zhang
Muhammad Rahaman
Shiliang Ai
Hao Chen
Frank Kulwa
Yixin Li
Xiaoyan Li
Tao Jiang
ArXivPDFHTML

Papers citing "Gastric histopathology image segmentation using a hierarchical conditional random field"

7 / 7 papers shown
Title
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for
  evaluation of semantic segmentation and detection of hypermetabolic regions
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions
Dechao Tang
Tianming Du
Deguo Ma
Zhiyuan Ma
Hongzan Sun
M. Grzegorzek
Huiyan Jiang
Chen Li
35
2
0
16 Aug 2023
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and
  Eosin Image Dataset for Image Segmentation Tasks
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks
Li Shi
Xirong Li
W. Hua
Hao Chen
Jing Chen
...
Hongzan Sun
M. Grzegorzek
Shouliang Qi
Yueyang Teng
Chen Li
25
21
0
01 Dec 2022
Application of Transfer Learning and Ensemble Learning in Image-level
  Classification for Breast Histopathology
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology
Yuchao Zheng
Chen Li
Xiaomin Zhou
Hao Chen
Hao Xu
...
Haiqing Zhang
Xirong Li
Hongzan Sun
Xinyu Huang
M. Grzegorzek
28
55
0
18 Apr 2022
EMDS-7: Environmental Microorganism Image Dataset Seventh Version for
  Multiple Object Detection Evaluation
EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation
Hechen Yang
Chen Li
Xin Zhao
Bencheng Cai
Jiawei Zhang
...
Hongzan Sun
Yueyang Teng
Shouliang Qi
Tao Jiang
M. Grzegorzek
33
10
0
11 Oct 2021
Applications of Artificial Neural Networks in Microorganism Image
  Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to
  Popular Convolutional Neural Network and Potential Visual Transformer
Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer
Jinghua Zhang
Chen Li
Yi Yin
Jiawei Zhang
M. Grzegorzek
24
139
0
01 Aug 2021
A State-of-the-art Survey of Object Detection Techniques in
  Microorganism Image Analysis: From Classical Methods to Deep Learning
  Approaches
A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: From Classical Methods to Deep Learning Approaches
Pingli Ma
Chen Li
M. Rahaman
Yudong Yao
Jiawei Zhang
Shuojia Zou
Xin Zhao
M. Grzegorzek
29
62
0
07 May 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,639
0
02 Nov 2015
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