CoInNet: A Convolution-Involution Network With a Novel Statistical Attention for Automatic Polyp Segmentation-Reference-Cited by-同舟云学术

CoInNet: A Convolution-Involution Network With a Novel Statistical Attention for Automatic Polyp Segmentation

Published:2023-12 Issue:12 Volume:42 Page:3987-4000
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Jain Samir¹,Atale Rohan¹,Gupta Anubhav¹,Mishra Utkarsh¹,Seal Ayan¹^ORCID,Ojha Aparajita¹^ORCID,Jaworek-Korjakowska Joanna²^ORCID,Krejcar Ondrej³^ORCID

Affiliation:

1. PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India

2. Department of Automatic Control and Robotics, and Center of Excellence in Artificial Intelligence, AGH University of Krakow, Kraków, Poland

3. Center for Basic and Applied Science, Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czech Republic

Funder

project “Smart Solutions in Ubiquitous Computing Environments”, Grant Agency of Excellence

University of Hradec Kralove, Faculty of Informatics and Management, Czech Republic

Program “Excellence Initiative Research University” for the AGH University, Krakow

ARTIQ Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/10336247/10266385.pdf?arnumber=10266385

Reference52 articles.

1. Polyp segmentation with convolutional MLP

2. Boundary Constraint Network With Cross Layer Feature Integration for Polyp Segmentation

3. XBound-Former: Toward Cross-Scale Boundary Modeling in Transformers

4. Cross-level Feature Aggregation Network for Polyp Segmentation

5. M2SNet: Multi-scale in multi-scale subtraction network for medical image segmentation;zhao;2023 arXiv preprint arXiv 2303 10894,0