Cover Image

MMIS-Net for Retinal Fluid Segmentation and Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ndipenocha, Nchongmaje, Mirona, Alina, Wanga, Kezhi, Li, Yongmin
Format:	Preprint
Published:	2025
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

Segmenting Medical Images: From UNet to Res-UNet and nnUNet
by: Huang, Lina, et al.
Published: (2024)

BreakNet: Discontinuity-Resilient Multi-Scale Transformer Segmentation of Retinal Layers
by: Ganjee, Razieh, et al.
Published: (2024)

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

Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning
by: Wei, Xinxu, et al.
Published: (2024)

Formula-Driven Data Augmentation and Partial Retinal Layer Copying for Retinal Layer Segmentation
by: Konno, Tsubasa, et al.
Published: (2024)

Retinal Vessel Segmentation via Neuron Programming
by: Wu, Tingting, et al.
Published: (2024)

Universal Vessel Segmentation for Multi-Modality Retinal Images
by: Wen, Bo, et al.
Published: (2025)

WaveNet-SF: A Hybrid Network for Retinal Disease Detection Based on Wavelet Transform in Spatial-Frequency Domain
by: Cheng, Jilan, et al.
Published: (2025)

Full-scale Representation Guided Network for Retinal Vessel Segmentation
by: Seo, Sunyong, et al.
Published: (2025)

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

OMSN and FAROS: OCTA Microstructure Segmentation Network and Fully Annotated Retinal OCTA Segmentation Dataset
by: Xiao, Peng, et al.
Published: (2022)

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis
by: Mehmood, Mehwish, et al.
Published: (2024)

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement
by: Ouyang, Yihao, et al.
Published: (2025)

Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
by: Faria, Fatema Tuj Johora, et al.
Published: (2024)

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection
by: Wang, Hao, et al.
Published: (2024)

Robust Detection of Retinal Neovascularization in Widefield Optical Coherence Tomography
by: Hao, Jinyi, et al.
Published: (2025)

Efficacy of Image Similarity as a Metric for Augmenting Small Dataset Retinal Image Segmentation
by: Wallace, Thomas, et al.
Published: (2025)

Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization
by: Fadugba, Jeremiah, et al.
Published: (2024)

Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
by: Kepp, Timo, et al.
Published: (2020)

FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures
by: Getahun, Melaku N., et al.
Published: (2023)

Enhanced SegNet with Integrated Grad-CAM for Interpretable Retinal Layer Segmentation in OCT Images
by: Saky, S M Asiful Islam, et al.
Published: (2025)

UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image Segmentation
by: Li, Yijie, et al.
Published: (2025)

MultiTaskDeltaNet: Change Detection-based Image Segmentation for Operando ETEM with Application to Carbon Gasification Kinetics
by: Niu, Yushuo, et al.
Published: (2025)

Multimodal Deep Learning for Stroke Prediction and Detection using Retinal Imaging and Clinical Data
by: Shurrab, Saeed, et al.
Published: (2025)

The Role of AI in Early Detection of Life-Threatening Diseases: A Retinal Imaging Perspective
by: Khan, Tariq M, et al.
Published: (2025)

PlaNet-S: Automatic Semantic Segmentation of Placenta
by: Yamamoto, Shinnosuke, et al.
Published: (2023)

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images
by: Ding, Yujie, et al.
Published: (2025)

KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation
by: Fang, Chenglin, et al.
Published: (2024)

Enhancing Retinal Vascular Structure Segmentation in Images With a Novel Design Two-Path Interactive Fusion Module Model
by: Yang, Rui, et al.
Published: (2024)

DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation
by: Li, Yijie, 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)

U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
by: Peng, Yaopeng, et al.
Published: (2023)

Explainable Deep Learning for Cataract Detection in Retinal Images: A Dual-Eye and Knowledge Distillation Approach
by: Soflaei, MohammadReza Abbaszadeh Bavil, et al.
Published: (2025)

DeepEyeNet: Generating Medical Report for Retinal Images
by: Huang, Jia-Hong
Published: (2025)

Resource Constrained U-Net for Extraction of Retinal Vascular Trees
by: Kiselev, Georgiy
Published: (2024)

DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation
by: Xu, Guoping, et al.
Published: (2024)

LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation
by: Alwadee, Ebtihal J., et al.
Published: (2024)

Light-weight Retinal Layer Segmentation with Global Reasoning
by: He, Xiang, et al.
Published: (2024)

TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement
by: Dong, Xuanzhao, et al.
Published: (2024)

A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation
by: Heidari, Moein, et al.
Published: (2025)