Cover Image

Automated Segmentation and Analysis of Cone Photoreceptors in Multimodal Adaptive Optics Imaging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shrestha, Prajol, Kulyabin, Mikhail, Sindel, Aline, Pedersen, Hilde R., Gilson, Stuart, Baraas, Rigmor, Maier, Andreas
Format:	Preprint
Published:	2024
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

Generalist Segmentation Algorithm for Photoreceptors Analysis in Adaptive Optics Imaging
by: Kulyabin, Mikhail, et al.
Published: (2024)

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

OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
by: Kulyabin, Mikhail, et al.
Published: (2023)

Edge Projection-Based Adaptive View Selection for Cone-Beam CT
by: Lin, Jingsong, et al.
Published: (2024)

Integrated Snapshot Near-infrared Hypersepctral Imaging Framework with Diffractive Optics
by: Ma, Jingyue, et al.
Published: (2025)

Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation
by: Wu, Linshan, et al.
Published: (2024)

Active Optics for Hyperspectral Imaging of Reflective Agricultural Leaf Sensors
by: Burns, Dexter, et al.
Published: (2025)

Deep Learning for Automated Wound Classification And Segmentation
by: Jahangir, Md. Zihad Bin, et al.
Published: (2024)

Prompt-based Multimodal Semantic Communication for Multi-spectral Image Segmentation
by: Zhang, Haoshuo, et al.
Published: (2025)

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

Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputs
by: Gösche, Erik, et al.
Published: (2024)

Targeted Semantic Segmentation of Himalayan Glacial Lakes Using Time-Series SAR: Towards Automated GLOF Early Warning
by: Adhikari, Pawan, et al.
Published: (2025)

AnatoMix: Anatomy-aware Data Augmentation for Multi-organ Segmentation
by: Liu, Chang, 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)

Neural-Optic Co-Designed Polarization-Multiplexed Metalens for Compact Computational Spectral Imaging
by: Zhang, Qiangbo, et al.
Published: (2023)

Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation
by: Götz, Michael, et al.
Published: (2024)

Guidestar-Free Adaptive Optics with Asymmetric Apertures
by: Jiang, Weiyun, et al.
Published: (2026)

HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis
by: Deng, Ruining, et al.
Published: (2024)

Deep Generative Models-Assisted Automated Labeling for Electron Microscopy Images Segmentation
by: Yuan, Wenhao, et al.
Published: (2024)

UP2D: Uncertainty-aware Progressive Pseudo-label Denoising for Source-Free Domain Adaptive Medical Image Segmentation
by: Bui-Tran, Quang-Khai, et al.
Published: (2025)

RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs
by: Feng, Anqi, et al.
Published: (2024)

VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation
by: Das, Badhan Kumar, et al.
Published: (2025)

Deep Learning-Based Automated Post-Operative Gross Tumor Volume Segmentation in Glioblastoma Patients
by: Muthusivarajan, Rajarajeswari, et al.
Published: (2024)

Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging
by: Das, Badhan Kumar, et al.
Published: (2025)

Multimodal Optical Imaging Platform for Quantitative Burn Assessment
by: Hanson, Nathaniel, et al.
Published: (2025)

AdaViT: Adaptive Vision Transformer for Flexible Pretrain and Finetune with Variable 3D Medical Image Modalities
by: Das, Badhan Kumar, et al.
Published: (2025)

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

ODFormer: Semantic Fundus Image Segmentation Using Transformer for Optic Nerve Head Detection
by: Wang, Jiayi, et al.
Published: (2024)

Learned Adaptive Kernels for High-Fidelity Image Downscaling
by: Pise, Piyush Narhari, et al.
Published: (2025)

Transformer-Based Local Feature Matching for Multimodal Image Registration
by: Delaunay, Remi, et al.
Published: (2024)

MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
by: Ulrich, Constantin, et al.
Published: (2023)

UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation
by: Tsai, Ting Yu, et al.
Published: (2024)

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

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)

Automating Vessel Segmentation in the Heart and Brain: A Trend to Develop Multi-Modality and Label-Efficient Deep Learning Techniques
by: Elsayed, Nazik, et al.
Published: (2024)

Region-Adaptive Transform with Segmentation Prior for Image Compression
by: Liu, Yuxi, et al.
Published: (2024)

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

Exploring Adult Glioma through MRI: A Review of Publicly Available Datasets to Guide Efficient Image Analysis
by: Andaloussi, Meryem Abbad, et al.
Published: (2024)

SASA: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging
by: Zhao, Yaping, et al.
Published: (2023)