Gland segmentation based on morphological clues and feature fusion-Reference-Cited by-同舟云学术

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Gland segmentation based on morphological clues and feature fusion

Published:2023-11-03 Issue: Volume: Page:219-222
ISSN:
Container-title:2023 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)
language:
Short-container-title:

Author:

Zeng Lingqi¹,Wang Huadeng¹,Guan Junlin¹

Affiliation:

1. Guilin University of Electronic Technology,Guangxi Key Laboratory of Image and Graphic Intelligent Processing,Guilin,China,541004

Funder

Guilin University of Electronic Technology

National Natural Science Foundation of China

Guangxi Key Laboratory of Image and Graphic Intelligent Processing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424714/10424727/10424755.pdf?arnumber=10424755

Reference16 articles.

1. Topology Aware Fully Convolutional Networks for Histology Gland Segmentation

2. DCAN: Deep contour-aware networks for object instance segmentation from histology images

3. Multi-scale fully convolutional network for gland segmentation using three-class classification

4. A Deep Model with Shape-Preserving Loss for Gland Instance Segmentation

5. Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: A deep learning approach

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