:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Zesheng, Liao, Minwen, Chen, Haoran, Su, Yan, Pan, Chengchang, Qi, Honggang
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2502.09256
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GraSP-VL: Length as a Semantic Granularity Interface for Vision-Language Representations
by: Li, Zesheng, et al.
Published: (2026)

RURA-Net: A general disease diagnosis method based on Zero-Shot Learning
by: Su, Yan, et al.
Published: (2025)

A Dynamic Prognostic Prediction Method for Colorectal Cancer Liver Metastasis
by: Yang, Wei, et al.
Published: (2025)

RetinaRegen: A Hybrid Model for Readability and Detail Restoration in Fundus Images
by: Tang, Yuhan, et al.
Published: (2025)

Behavior-Guided Candidate Calibration for Multimodal Recommendation
by: Li, Zesheng, et al.
Published: (2026)

4D-ACFNet: A 4D Attention Mechanism-Based Prognostic Framework for Colorectal Cancer Liver Metastasis Integrating Multimodal Spatiotemporal Features
by: Li, Zesheng, et al.
Published: (2025)

RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering
by: Yang, Wei, et al.
Published: (2025)

HER2 Expression Prediction with Flexible Multi-Modal Inputs via Dynamic Bidirectional Reconstruction
by: Qin, Jie, et al.
Published: (2025)

A Residual Multi-task Network for Joint Classification and Regression in Medical Imaging
by: Lin, Junji, et al.
Published: (2025)

Hybrid Approach for Enhancing Lesion Segmentation in Fundus Images
by: Eshragh, Mohammadmahdi, et al.
Published: (2025)

HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation
by: Ding, Ziyuan, et al.
Published: (2024)

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images
by: Yu, Jinchen, et al.
Published: (2025)

SegTrans: Transferable Adversarial Examples for Segmentation Models
by: Song, Yufei, et al.
Published: (2025)

Cancer-Net PCa-MultiSeg: Multimodal Enhancement of Prostate Cancer Lesion Segmentation Using Synthetic Correlated Diffusion Imaging
by: Dewbury, Jarett, et al.
Published: (2025)

TipSegNet: Fingertip Segmentation in Contactless Fingerprint Imaging
by: Ruzicka, Laurenz, et al.
Published: (2025)

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
by: Li, Tianyu, et al.
Published: (2023)

Explainable Fundus Image Curation and Lesion Detection in Diabetic Retinopathy
by: Mihai, Anca, et al.
Published: (2025)

PupiNet: Seamless OCT-OCTA Interconversion Through Wavelet-Driven and Multi-Scale Attention Mechanisms
by: Tian, Renzhi, et al.
Published: (2025)

CORE-Seg: Reasoning-Driven Segmentation for Complex Lesions via Reinforcement Learning
by: Xie, Yuxin, et al.
Published: (2026)

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling
by: Ji, Hangyu
Published: (2025)

DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment
by: Zhu, Kevin, et al.
Published: (2026)

BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation
by: Wang, Hongming, et al.
Published: (2025)

MicroSegNet: A Deep Learning Approach for Prostate Segmentation on Micro-Ultrasound Images
by: Jiang, Hongxu, et al.
Published: (2023)

ACS-SegNet: An Attention-Based CNN-SegFormer Segmentation Network for Tissue Segmentation in Histopathology
by: Torbati, Nima, et al.
Published: (2025)

SegForestNet: Spatial-Partitioning-Based Aerial Image Segmentation
by: Gritzner, Daniel, et al.
Published: (2023)

Phi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation
by: Ali, Shams Nafisa, et al.
Published: (2026)

SegReg: Segmenting OARs by Registering MR Images and CT Annotations
by: Zhang, Zeyu, et al.
Published: (2023)

Adaptive Feature Fusion Neural Network for Glaucoma Segmentation on Unseen Fundus Images
by: Zhong, Jiyuan, et al.
Published: (2024)

TP-Seg: Task-Prototype Framework for Unified Medical Lesion Segmentation
by: Xu, Jiawei, et al.
Published: (2026)

Seg-VAR: Image Segmentation with Visual Autoregressive Modeling
by: Zheng, Rongkun, et al.
Published: (2025)

A Deep Learning-Based Unified Framework for Red Lesions Detection on Retinal Fundus Images
by: Asiri, Norah, et al.
Published: (2021)

Artery-Vein Segmentation from Fundus Images using Deep Learning
by: SK, Sharan, et al.
Published: (2025)

SegResMamba: An Efficient Architecture for 3D Medical Image Segmentation
by: Das, Badhan Kumar, et al.
Published: (2025)

DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation
by: Sun, Han, et al.
Published: (2025)

MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images
by: Wang, Libo, et al.
Published: (2023)

SegMix:Shuffle-based Feedback Learning for Semantic Segmentation of Pathology Images
by: Yan, Zhiling, et al.
Published: (2026)

DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion Difference
by: Shuai, Zhihao, et al.
Published: (2024)

GANet-Seg: Adversarial Learning for Brain Tumor Segmentation with Hybrid Generative Models
by: Cui, Qifei, et al.
Published: (2025)

SegLocNet: Multimodal Localization Network for Autonomous Driving via Bird's-Eye-View Segmentation
by: Zhou, Zijie, et al.
Published: (2025)

SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation
by: Basaran, Berke Doga, et al.
Published: (2024)