Cover Image

SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hossain, Khondker Fariha, Kamran, Sharif Amit, Tavakkoli, Alireza, Bebis, George, Baker, Sal
Format:	Preprint
Published:	2023
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

EDU-Net: Retinal Pathological Fluid Segmentation in OCT Images with Multiscale Feature Fusion and Boundary Optimization
by: Lei, Zijun, et al.
Published: (2026)

Alzheimer's Disease Classification Using Retinal OCT: TransnetOCT and Swin Transformer Models
by: Kesu, Siva Manohar Reddy, et al.
Published: (2025)

MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer
by: Sarker, Sushmita, et al.
Published: (2024)

FEFormer: Frequency-enhanced Vision Transformer for Generic Knowledge Extraction and Adaptive Feature Fusion in Volumetric Medical Image Segmentation
by: Yang, Jin, et al.
Published: (2026)

Comparative Analysis of Data Augmentation for Retinal OCT Biomarker Segmentation
by: Unterdechler, Markus, et al.
Published: (2024)

Leveraging Complementary Attention maps in vision transformers for OCT image analysis
by: Shahgir, Haz Sameen, et al.
Published: (2023)

An Efficient Approach to Detecting Lung Nodules Using Swin Transformer
by: Shakuri, Saeed, et al.
Published: (2025)

CTseg: A Tool for Brain CT Segmentation, Spatial Normalisation, and Volumetrics
by: Brudfors, Mikael
Published: (2026)

Novel OCT mosaicking pipeline with Feature- and Pixel-based registration
by: Wang, Jiacheng, et al.
Published: (2023)

HoloPASWIN: Robust Inline Holographic Reconstruction via Physics-Aware Swin Transformers
by: Koçmarlı, Gökhan, et al.
Published: (2026)

RS-FME-SwinT: A Novel Feature Map Enhancement Framework Integrating Customized SwinT with Residual and Spatial CNN for Monkeypox Diagnosis
by: Khan, Saddam Hussain, et al.
Published: (2024)

Probabilistic volumetric speckle suppression in OCT using deep learning
by: Chintada, Bhaskara Rao, et al.
Published: (2023)

DualSwinUnet++: An Enhanced Swin-Unet Architecture With Dual Decoders For PTMC Segmentation
by: Dialameh, Maryam, et al.
Published: (2024)

Complex Swin Transformer for Accelerating Enhanced SMWI Reconstruction
by: Usman, Muhammad, et al.
Published: (2025)

Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers
by: Liu, Kuan, et al.
Published: (2025)

D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation
by: Yang, Jin, et al.
Published: (2024)

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

Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images
by: Wang, Meng, et al.
Published: (2022)

FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty Quantification
by: Shen, Yiqing, et al.
Published: (2024)

Segmentation Quality and Volumetric Accuracy in Medical Imaging
by: Zhang, Zheyuan, et al.
Published: (2024)

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)

Swin SMT: Global Sequential Modeling in 3D Medical Image Segmentation
by: Płotka, Szymon, et al.
Published: (2024)

Residual Dense Swin Transformer for Continuous Depth-Independent Ultrasound Imaging
by: Hu, Jintong, et al.
Published: (2024)

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning
by: Zhang, Kexin, et al.
Published: (2026)

Lesion Segmentation in FDG-PET/CT Using Swin Transformer U-Net 3D: A Robust Deep Learning Framework
by: Guha, Shovini, et al.
Published: (2026)

Flexible Variable-Rate Image Feature Compression for Edge-Cloud Systems
by: Hossain, Md Adnan Faisal, et al.
Published: (2024)

NeuralOCT: Airway OCT Analysis via Neural Fields
by: Jiao, Yining, et al.
Published: (2024)

On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models
by: Malik, Hashmat Shadab, et al.
Published: (2024)

Learnable Weight Initialization for Volumetric Medical Image Segmentation
by: Kunhimon, Shahina, et al.
Published: (2023)

O-PRESS: Boosting OCT axial resolution with Prior guidance, Recurrence, and Equivariant Self-Supervision
by: Li, Kaiyan, et al.
Published: (2024)

SpecstatOR: Speckle statistics-based iOCT Segmentation Network for Ophthalmic Surgery
by: Mach, Kristina, et al.
Published: (2024)

Versatile Volumetric Medical Image Coding for Human-Machine Vision
by: Chen, Jietao, et al.
Published: (2024)

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

Super-Resolution and Denoising of Corneal B-Scan OCT Imaging Using Diffusion Model Plug-and-Play Priors
by: Wang, Yaning, et al.
Published: (2026)

Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss
by: Lu, Yunfan, et al.
Published: (2024)

Using Multi-scale SwinTransformer-HTC with Data augmentation in CoNIC Challenge
by: Lee, Chia-Yen, et al.
Published: (2022)

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

S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context
by: Wang, Yongqiang, et al.
Published: (2024)

Deep-learning-based clustering of OCT images for biomarker discovery in age-related macular degeneration (Pinnacle study report 4)
by: Holland, Robbie, et al.
Published: (2024)

TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting
by: Sharif, Muhammad Hamza, et al.
Published: (2024)