Adaptive2Former: Enhancing Chromosome Instance Segmentation with Adaptive Query Decoder-Reference-Cited by-同舟云学术

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Adaptive2Former: Enhancing Chromosome Instance Segmentation with Adaptive Query Decoder

Published:2023-12-21 Issue: Volume: Page:1-9
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Yu Linfeng¹,Zhang Xinxu¹,Zhong Zhenpeng¹,Lai Yi²,Zhang Haoxi¹³,Szczerbicki Edward⁴

Affiliation:

1. School of Cybersecurity, Chengdu University of Information Technology, Chengdu, China

2. Department of Medical Genetics/Prenatal Diagnostic Center, West China Second Hospital, Sichuan University, Chengdu, China

3. Advanced Cryptography and System Security Key Laboratory of Sichuan Province, Chengdu, China

4. Faculty of Management and Economics, Gdansk University of Technology, Gdansk, Poland

Funder

Sichuan Science Foundation

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2023.2296249

Reference21 articles.

1. Deep Watershed Transform for Instance Segmentation

2. Cascade R-CNN: Delving Into High Quality Object Detection

3. End-to-End Object Detection with Transformers

4. Masked-attention Mask Transformer for Universal Image Segmentation

5. Dosovitskiy A. L. Beyer A. Kolesnikov D. Weissenborn X. Zhai T. Unterthiner et al. 2021. “An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.” arXiv preprint arXiv:2010.11929 .

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