Scribble-Based Interactive Segmentation of Medical Hyperspectral Images
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Zhonghao, Wang, Junwen, Budd, Charlie, MacCormac, Oscar, Shapey, Jonathan, Vercauteren, Tom |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging
by: Li, Peichao, et al.
Published: (2024)
by: Li, Peichao, et al.
Published: (2024)
OOD-SEG: Exploiting out-of-distribution detection techniques for learning image segmentation from sparse multi-class positive-only annotations
by: Wang, Junwen, et al.
Published: (2024)
by: Wang, Junwen, et al.
Published: (2024)
A generalisable head MRI defacing pipeline: Evaluation on 2,566 meningioma scans
by: Macias, Lorena Garcia-Foncillas, et al.
Published: (2025)
by: Macias, Lorena Garcia-Foncillas, et al.
Published: (2025)
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
by: Wong, Hallee E., et al.
Published: (2023)
by: Wong, Hallee E., et al.
Published: (2023)
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation
by: Wang, Ziyang, et al.
Published: (2024)
by: Wang, Ziyang, et al.
Published: (2024)
A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma
by: Wijethilake, Navodini, et al.
Published: (2023)
by: Wijethilake, Navodini, et al.
Published: (2023)
Systematic Review of Pituitary Gland and Pituitary Adenoma Automatic Segmentation Techniques in Magnetic Resonance Imaging
by: Yakubu, Mubaraq, et al.
Published: (2025)
by: Yakubu, Mubaraq, et al.
Published: (2025)
Quantification of dual-state 5-ALA-induced PpIX fluorescence: Methodology and validation in tissue-mimicking phantoms
by: Ségaud, Silvère, et al.
Published: (2025)
by: Ségaud, Silvère, et al.
Published: (2025)
SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement
by: Ping, Haonan, et al.
Published: (2026)
by: Ping, Haonan, et al.
Published: (2026)
MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN Robustness for Scribble-Based Weakly Supervised Ultrasound Image Segmentation
by: Han, Xiaoxiang, et al.
Published: (2024)
by: Han, Xiaoxiang, et al.
Published: (2024)
Beyond one-hot encoding? Journey into compact encoding for large multi-class segmentation
by: Kujawa, Aaron, et al.
Published: (2025)
by: Kujawa, Aaron, et al.
Published: (2025)
Learning-based sound speed estimation and aberration correction in linear-array photoacoustic imaging
by: Shi, Mengjie, et al.
Published: (2023)
by: Shi, Mengjie, et al.
Published: (2023)
Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image Analysis
by: Ayres, Luciano Carvalho, et al.
Published: (2024)
by: Ayres, Luciano Carvalho, et al.
Published: (2024)
Segment Anything in Medical Images
by: Ma, Jun, et al.
Published: (2023)
by: Ma, Jun, et al.
Published: (2023)
Susceptibility of Adversarial Attack on Medical Image Segmentation Models
by: Wang, Zhongxuan, et al.
Published: (2024)
by: Wang, Zhongxuan, et al.
Published: (2024)
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis
by: Bonazzi, Pietro, et al.
Published: (2023)
by: Bonazzi, Pietro, et al.
Published: (2023)
Deconver: A Deconvolutional Network for Medical Image Segmentation
by: Ashtari, Pooya, et al.
Published: (2025)
by: Ashtari, Pooya, et al.
Published: (2025)
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)
by: Gao, Yifan, et al.
Published: (2023)
Degradation-Aware Metric Prompting for Hyperspectral Image Restoration
by: Wang, Binfeng, et al.
Published: (2025)
by: Wang, Binfeng, et al.
Published: (2025)
Optimizing Medical Image Segmentation with Advanced Decoder Design
by: Yang, Weibin, et al.
Published: (2024)
by: Yang, Weibin, et al.
Published: (2024)
Segment Anything in Medical Images and Videos: Benchmark and Deployment
by: Ma, Jun, et al.
Published: (2024)
by: Ma, Jun, et al.
Published: (2024)
HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising
by: Wang, Qizhou, et al.
Published: (2023)
by: Wang, Qizhou, et al.
Published: (2023)
Conformal Lesion Segmentation for 3D Medical Images
by: Tan, Binyu, et al.
Published: (2025)
by: Tan, Binyu, et al.
Published: (2025)
Large-Vocabulary Segmentation for Medical Images with Text Prompts
by: Zhao, Ziheng, et al.
Published: (2023)
by: Zhao, Ziheng, et al.
Published: (2023)
SliceMamba with Neural Architecture Search for Medical Image Segmentation
by: Fan, Chao, et al.
Published: (2024)
by: Fan, Chao, et al.
Published: (2024)
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
by: Zhou, Feng, et al.
Published: (2024)
by: Zhou, Feng, et al.
Published: (2024)
LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation
by: Liao, Weibin, et al.
Published: (2024)
by: Liao, Weibin, et al.
Published: (2024)
Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation
by: Lin, Yi, et al.
Published: (2025)
by: Lin, Yi, et al.
Published: (2025)
Correlation-Based Band Selection for Hyperspectral Image Classification
by: Deb, Dibyabha, et al.
Published: (2025)
by: Deb, Dibyabha, et al.
Published: (2025)
MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image Segmentation
by: Bian, Chenyuan, et al.
Published: (2024)
by: Bian, Chenyuan, et al.
Published: (2024)
Segmenting Medical Images with Limited Data
by: Liua, Zhaoshan, et al.
Published: (2024)
by: Liua, Zhaoshan, et al.
Published: (2024)
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
by: Javed, Syed, et al.
Published: (2024)
by: Javed, Syed, et al.
Published: (2024)
SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation
by: Song, Bentao, et al.
Published: (2024)
by: Song, Bentao, et al.
Published: (2024)
LV-UNet: A Lightweight and Vanilla Model for Medical Image Segmentation
by: Jiang, Juntao, et al.
Published: (2024)
by: Jiang, Juntao, et al.
Published: (2024)
S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction
by: Wang, Jiamian, et al.
Published: (2022)
by: Wang, Jiamian, et al.
Published: (2022)
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
by: Zhu, Wenhui, et al.
Published: (2024)
by: Zhu, Wenhui, et al.
Published: (2024)
Physics-Inspired Degradation Models for Hyperspectral Image Fusion
by: Lian, Jie, et al.
Published: (2024)
by: Lian, Jie, et al.
Published: (2024)
Coarse-Fine Spectral-Aware Deformable Convolution For Hyperspectral Image Reconstruction
by: Yang, Jincheng, et al.
Published: (2024)
by: Yang, Jincheng, et al.
Published: (2024)
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
by: Li, Liu, et al.
Published: (2024)
by: Li, Liu, et al.
Published: (2024)
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
by: Li, Chenxin, et al.
Published: (2024)
by: Li, Chenxin, et al.
Published: (2024)
Similar Items
-
A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging
by: Li, Peichao, et al.
Published: (2024) -
OOD-SEG: Exploiting out-of-distribution detection techniques for learning image segmentation from sparse multi-class positive-only annotations
by: Wang, Junwen, et al.
Published: (2024) -
A generalisable head MRI defacing pipeline: Evaluation on 2,566 meningioma scans
by: Macias, Lorena Garcia-Foncillas, et al.
Published: (2025) -
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
by: Wong, Hallee E., et al.
Published: (2023) -
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation
by: Wang, Ziyang, et al.
Published: (2024)