A VAN-Based Multi-Scale Cross-Attention Mechanism for Skin Lesion Segmentation Network
With the rise of deep learning technology, the field of medical image segmentation has undergone rapid development. In recent years, convolutional neural networks (CNNs) have brought many achievements and become the consensus in medical image segmentation tasks. Although many neural networks based o...
Saved in:
Main Authors: | Shuang Liu, Zeng Zhuang, Yanfeng Zheng, Simon Kolmanic |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10194499/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mix-layers semantic extraction and multi-scale aggregation transformer for semantic segmentation
by: Tianping Li, et al.
Published: (2024-11-01) -
DS-SwinUNet: Redesigning Skip Connection With Double Scale Attention for Land Cover Semantic Segmentation
by: Zirui Shen, et al.
Published: (2025-01-01) -
Advancing Rice Grain Impurity Segmentation with an Enhanced SegFormer and Multi-Scale Feature Integration
by: Xiulin Qiu, et al.
Published: (2025-01-01) -
Precision and efficiency in skin cancer segmentation through a dual encoder deep learning model
by: Asaad Ahmed, et al.
Published: (2025-02-01) -
DiffRSS: A Diffusion-Guided Multi-Scale Features Remote Sensing Image Segmentation Method
by: Honghao Liu, et al.
Published: (2025-01-01)