:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Trinh, Huy, Tran, Khang, Nguyen, Nam, Cao, Tri, Nguyen, Binh
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2411.18893
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis
by: Nguyen, Van Phi, et al.
Published: (2024)

KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation
by: Trinh, Quoc-Huy, et al.
Published: (2023)

Cross-Species Data Integration for Enhanced Layer Segmentation in Kidney Pathology
by: Zhu, Junchao, et al.
Published: (2024)

DiffSegLung: Diffusion Radiomic Distillation for Unsupervised Lung Pathology Segmentation
by: Khiati, Rezkellah Noureddine, et al.
Published: (2026)

Comparative Analysis of Diffusion Generative Models in Computational Pathology
by: Thakkar, Denisha, et al.
Published: (2024)

CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach
by: Nguyen, Dac Thai, et al.
Published: (2024)

Efficient Self-Supervised Barlow Twins from Limited Tissue Slide Cohorts for Colonic Pathology Diagnostics
by: Notton, Cassandre, et al.
Published: (2024)

Trans2Unet: Neural fusion for Nuclei Semantic Segmentation
by: Tran, Dinh-Phu, et al.
Published: (2024)

Beyond Traditional Approaches: Multi-Task Network for Breast Ultrasound Diagnosis
by: Chung, Dat T., et al.
Published: (2024)

GPC: Generative and General Pathology Image Classifier
by: Nguyen, Anh Tien, et al.
Published: (2024)

MetaFormer-driven Encoding Network for Robust Medical Semantic Segmentation
by: Tran, Le-Anh, et al.
Published: (2026)

LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
by: Tran, Ngoc-Du, et al.
Published: (2024)

Using Large Context for Kidney Multi-Structure Segmentation from CTA Images
by: Cao, Weiwei, et al.
Published: (2022)

Computational Pathology: A Survey Review and The Way Forward
by: Hosseini, Mahdi S., et al.
Published: (2023)

MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain Segmentation
by: Cao, Aaron, et al.
Published: (2024)

VEIGAR: View-consistent Explicit Inpainting and Geometry Alignment for 3D object Removal
by: Do, Pham Khai Nguyen, et al.
Published: (2025)

Semise: Semi-supervised learning for severity representation in medical image
by: Tran, Dung T., et al.
Published: (2025)

RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation
by: Zhang, Jie, et al.
Published: (2024)

Shape-Sensitive Loss for Catheter and Guidewire Segmentation
by: Kongtongvattana, Chayun, et al.
Published: (2023)

Enhanced Pediatric Dental Segmentation Using a Custom SegUNet with VGG19 Backbone on Panoramic Radiographs
by: Ovi, Md Ohiduzzaman, et al.
Published: (2025)

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

HER-Seg: Holistically Efficient Segmentation for High-Resolution Medical Images
by: Xu, Qing, et al.
Published: (2025)

CAMP: Continuous and Adaptive Learning Model in Pathology
by: Nguyen, Anh Tien, et al.
Published: (2024)

Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding
by: Huynh, Tuan-Luc, et al.
Published: (2025)

Vim4Path: Self-Supervised Vision Mamba for Histopathology Images
by: Nasiri-Sarvi, Ali, et al.
Published: (2024)

SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation
by: Ye, Jin, et al.
Published: (2024)

SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies
by: Tan, Shengbo, et al.
Published: (2024)

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

An Automated Real-Time Approach for Image Processing and Segmentation of Fluoroscopic Images and Videos Using a Single Deep Learning Network
by: Nguyen, Viet Dung, et al.
Published: (2024)

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training
by: Li, Chengyin, et al.
Published: (2024)

AtlasPatch: Efficient Tissue Detection and High-throughput Patch Extraction for Computational Pathology at Scale
by: Alagha, Ahmed, et al.
Published: (2026)

Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence
by: Saha, Ripon Kumar, et al.
Published: (2024)

MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization
by: Bi, Yuan, et al.
Published: (2023)

SegImgNet: Segmentation-Guided Dual-Branch Network for Retinal Disease Diagnoses
by: Luo, Xinwei, et al.
Published: (2025)

CF-Seg: Counterfactuals meet Segmentation
by: Mehta, Raghav, et al.
Published: (2025)

SAGE: Shape-Adapting Gated Experts for Adaptive Histopathology Image Segmentation
by: Thai, Gia Huy, et al.
Published: (2025)

Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology
by: Qi, Lirui, et al.
Published: (2025)

IRS: Incremental Relationship-guided Segmentation for Digital Pathology
by: Deng, Ruining, et al.
Published: (2025)

Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
by: Zhang, Lipei, et al.
Published: (2024)

Diff-Lung: Diffusion-Based Texture Synthesis for Enhanced Pathological Tissue Segmentation in Lung CT Scans
by: Khiati, Rezkellah Noureddine, et al.
Published: (2025)