Cover Image

Partial Decoder Attention Network with Contour-weighted Loss Function for Data-Imbalance Medical Image Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Zhengyong, Jiang, Ning, Sun, Xingwen, Zhang, Lihua, Chen, Peng, Domke, Jens, Sui, Yao
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unsupervised Deformable Image Registration with Local-Global Attention and Image Decomposition
by: Huang, Zhengyong, et al.
Published: (2026)

Contour-weighted loss for class-imbalanced image segmentation
by: Huang, Zhhengyong, et al.
Published: (2024)

Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation
by: Li, Huiyu, et al.
Published: (2025)

Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions
by: Park, Sanguk, et al.
Published: (2021)

A Dynamically Weighted Loss Function for Unsupervised Image Segmentation
by: Guermazi, Boujemaa, et al.
Published: (2024)

Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation
by: Zhou, Zhenhuan, et al.
Published: (2024)

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation
by: Yu, Ruiguo, et al.
Published: (2024)

EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2024)

ATFusion: An Alternate Cross-Attention Transformer Network for Infrared and Visible Image Fusion
by: Yan, Han, et al.
Published: (2024)

UNet-3D with Adaptive TverskyCE Loss for Pancreas Medical Image Segmentation
by: Zhang, Xubei, et al.
Published: (2025)

CALF: A Conditionally Adaptive Loss Function to Mitigate Class-Imbalanced Segmentation
by: Alam, Bashir, et al.
Published: (2025)

MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image Segmentation
by: Lin, Shijie, et al.
Published: (2025)

An Enhanced Encoder-Decoder Network Architecture for Reducing Information Loss in Image Semantic Segmentation
by: Gao, Zijun, et al.
Published: (2024)

Low-Light Image Enhancement Using Gamma Learning And Attention-Enabled Encoder-Decoder Networks
by: Debnath, Bibhabasu, et al.
Published: (2025)

TransLK-Net: Entangling Transformer and Large Kernel for Progressive and Collaborative Feature Encoding and Decoding in Medical Image Segmentation
by: Yang, Jin, et al.
Published: (2025)

Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation
by: Saragih, Daniel, et al.
Published: (2023)

Optimizing Medical Image Segmentation with Advanced Decoder Design
by: Yang, Weibin, et al.
Published: (2024)

Imbalance Knowledge-Driven Multi-modal Network for Land-Cover Semantic Segmentation Using Images and LiDAR Point Clouds
by: Wang, Yameng, et al.
Published: (2023)

Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations
by: Lin, Xun, et al.
Published: (2024)

M$^4$oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts
by: Jiang, Yufeng, et al.
Published: (2024)

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation
by: Xing, Ruiqi
Published: (2025)

PMR-Net: Parallel Multi-Resolution Encoder-Decoder Network Framework for Medical Image Segmentation
by: Du, Xiaogang, et al.
Published: (2024)

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation
by: Gao, Jingyi, et al.
Published: (2025)

Medical Image Segmentation Using Directional Window Attention
by: Kareem, Daniya Najiha Abdul, et al.
Published: (2024)

MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation
by: Xu, Jing
Published: (2023)

Segmenting Medical Images with Limited Data
by: Liua, Zhaoshan, et al.
Published: (2024)

Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning
by: Liang, Guoyan, et al.
Published: (2025)

Attentional Triple-Encoder Network in Spatiospectral Domains for Medical Image Segmentation
by: Qi, Kristin, et al.
Published: (2025)

MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation
by: Kolahi, Sina Ghorbani, et al.
Published: (2024)

Optimizing Prompt Strategies for SAM: Advancing lesion Segmentation Across Diverse Medical Imaging Modalities
by: Wang, Yuli, et al.
Published: (2024)

Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation
by: Chen, Yuanbin, et al.
Published: (2023)

Human Gaze-based Dual Teacher Guidance Learning for Semi-Supervised Medical Image Segmentation
by: Ge, Rongjun, et al.
Published: (2026)

3D Skin Segmentation Methods in Medical Imaging: A Comparison
by: Paccini, Martina, et al.
Published: (2025)

Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation
by: Wang, Chuhan, et al.
Published: (2025)

Synthetic Volumetric Data Generation Enables Zero-Shot Generalization of Foundation Models in 3D Medical Image Segmentation
by: Chakrabarty, Satrajit, et al.
Published: (2026)

Dual Cross-Attention for Medical Image Segmentation
by: Ates, Gorkem Can, et al.
Published: (2023)

CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network
by: Tang, Fenghe, et al.
Published: (2022)

GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation
by: Sun, Chengkun, et al.
Published: (2024)

ContourDiff: Unpaired Medical Image Translation with Structural Consistency
by: Chen, Yuwen, et al.
Published: (2024)

MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention
by: Shao, Hao, et al.
Published: (2023)