FI‐Net: Rethinking Feature Interactions for Medical Image Segmentation

FI‐Net: Rethinking Feature Interactions for Medical Image Segmentation

To solve the problems of existing hybrid networks based on convolutional neural networks (CNN) and Transformers, we propose a new encoder–decoder network FI‐Net based on CNN‐Transformer for medical image segmentation. In the encoder part, a dual‐stream encoder is used to capture local details and lo...

Full description

Saved in:
Bibliographic Details
Main Authors: Yuhan Ding, Jinhui Liu, Yunbo He, Jinliang Huang, Haisu Liang, Zhenglin Yi, Yongjie Wang
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Advanced Intelligent Systems
Subjects:
convolutional neural network
feature interaction
medical image segmentation
multi‐scale feature
transformer
Online Access:https://doi.org/10.1002/aisy.202400201
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/aisy.202400201

Similar Items