Apply Masked-attention Mask Transformer to Instance Segmentation in Pathology Images-Reference-Cited by-同舟云学术

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Apply Masked-attention Mask Transformer to Instance Segmentation in Pathology Images

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)
language:
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Author:

Sheng Jia-Chun¹,Liao Yi-Sheng¹,Huang Chun-Rong²

Affiliation:

1. National Chung Hsing University,Department of Computer Science and Engineering,Taichung,Taiwan,402

2. National Cheng Kung University,Cross College Elite Program, and Academy of Innovative Semiconductor and Sustainable Manufacturing,Tainan,Taiwan,701

Funder

National Science and Technology Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10219186/10219411/10219528.pdf?arnumber=10219528

Reference26 articles.

1. ADMM-SRNet: Alternating Direction Method of Multipliers Based Sparse Representation Network for One-Class Classification

2. Semantic Context-Aware Image Style Transfer

3. CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows

4. Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation

5. Criss-Cross Attention Based Multi-level Fusion Network for Gastric Intestinal Metaplasia Segmentation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MHIAIFormer: Multihead Interacted and Adaptive Integrated Transformer With Spatial-Spectral Attention for Hyperspectral Image Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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