Saved in:
| Main Authors: | Mason, Hannah G., Noble, Jack H. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.10425 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2
by: Lou, Ange, et al.
Published: (2024)
by: Lou, Ange, et al.
Published: (2024)
Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning
by: Hwang, Ung, et al.
Published: (2024)
by: Hwang, Ung, et al.
Published: (2024)
WS-SfMLearner: Self-supervised Monocular Depth and Ego-motion Estimation on Surgical Videos with Unknown Camera Parameters
by: Lou, Ange, et al.
Published: (2023)
by: Lou, Ange, et al.
Published: (2023)
Self-STORM: Deep Unrolled Self-Supervised Learning for Super-Resolution Microscopy
by: Sahel, Yair Ben, et al.
Published: (2024)
by: Sahel, Yair Ben, et al.
Published: (2024)
Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks
by: Patel, Neel, et al.
Published: (2024)
by: Patel, Neel, et al.
Published: (2024)
IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI
by: Liang, Ziyun, et al.
Published: (2024)
by: Liang, Ziyun, et al.
Published: (2024)
COVID-19 Detection Using Segmentation, Region Extraction and Classification Pipeline
by: Morani, Kenan
Published: (2022)
by: Morani, Kenan
Published: (2022)
Comparative Study of Probabilistic Atlas and Deep Learning Approaches for Automatic Brain Tissue Segmentation from MRI Using N4 Bias Field Correction and Anisotropic Diffusion Pre-processing Techniques
by: Hossain, Mohammad Imran, et al.
Published: (2024)
by: Hossain, Mohammad Imran, et al.
Published: (2024)
Supervision by Denoising for Medical Image Segmentation
by: Young, Sean I., et al.
Published: (2022)
by: Young, Sean I., et al.
Published: (2022)
Towards Fingerprint Mosaicking Artifact Detection: A Self-Supervised Deep Learning Approach
by: Ruzicka, Laurenz, et al.
Published: (2025)
by: Ruzicka, Laurenz, et al.
Published: (2025)
SSVT: Self-Supervised Vision Transformer For Eye Disease Diagnosis Based On Fundus Images
by: Wang, Jiaqi, et al.
Published: (2024)
by: Wang, Jiaqi, et al.
Published: (2024)
CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers
by: Ranne, Alex, et al.
Published: (2024)
by: Ranne, Alex, et al.
Published: (2024)
Deep Supervision by Gaussian Pseudo-label-based Morphological Attention for Abdominal Aorta Segmentation in Non-Contrast CTs
by: Ma, Qixiang, et al.
Published: (2024)
by: Ma, Qixiang, et al.
Published: (2024)
Self-Supervised Denoiser Framework
by: Valat, Emilien, et al.
Published: (2024)
by: Valat, Emilien, et al.
Published: (2024)
Interpretable Auto Window Setting for Deep-Learning-Based CT Analysis
by: Zhang, Yiqin, et al.
Published: (2025)
by: Zhang, Yiqin, et al.
Published: (2025)
BEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation
by: Meyer, Maxwell, et al.
Published: (2025)
by: Meyer, Maxwell, et al.
Published: (2025)
Brachial Plexus Nerve Trunk Segmentation Using Deep Learning: A Comparative Study with Doctors' Manual Segmentation
by: Wang, Yu, et al.
Published: (2022)
by: Wang, Yu, et al.
Published: (2022)
Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts
by: Wasserman, Isaac, et al.
Published: (2023)
by: Wasserman, Isaac, et al.
Published: (2023)
Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery
by: Sledge, Isaac J., et al.
Published: (2024)
by: Sledge, Isaac J., et al.
Published: (2024)
GPU-Accelerated RSF Level Set Evolution for Large-Scale Microvascular Segmentation
by: Niger, Meher, et al.
Published: (2024)
by: Niger, Meher, et al.
Published: (2024)
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
by: Qu, Chongyu, et al.
Published: (2023)
by: Qu, Chongyu, et al.
Published: (2023)
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation
by: Ma, Chao, et al.
Published: (2024)
by: Ma, Chao, et al.
Published: (2024)
High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation
by: Jonnarth, Arvi, et al.
Published: (2023)
by: Jonnarth, Arvi, et al.
Published: (2023)
Iterative Explainability for Weakly Supervised Segmentation in Medical PE Detection
by: Condrea, Florin, et al.
Published: (2024)
by: Condrea, Florin, et al.
Published: (2024)
Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation
by: Zhang, Irina, et al.
Published: (2024)
by: Zhang, Irina, et al.
Published: (2024)
Atlas-Based Interpretable Age Prediction In Whole-Body MR Images
by: Starck, Sophie, et al.
Published: (2023)
by: Starck, Sophie, et al.
Published: (2023)
Deep Learning-Based Meat Freshness Detection with Segmentation and OOD-Aware Classification
by: Bramantyo, Hutama Arif, et al.
Published: (2026)
by: Bramantyo, Hutama Arif, et al.
Published: (2026)
Cross-Task Data Augmentation by Pseudo-label Generation for Region Based Coronary Artery Instance Segmentation
by: Pokhrel, Sandesh, et al.
Published: (2023)
by: Pokhrel, Sandesh, et al.
Published: (2023)
KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation
by: Trinh, Quoc-Huy, et al.
Published: (2023)
by: Trinh, Quoc-Huy, et al.
Published: (2023)
Diffusion Probabilistic Multi-cue Level Set for Reducing Edge Uncertainty in Pancreas Segmentation
by: Gou, Yue, et al.
Published: (2024)
by: Gou, Yue, et al.
Published: (2024)
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation
by: Sui, Mingxiu, et al.
Published: (2024)
by: Sui, Mingxiu, et al.
Published: (2024)
Landslide Detection and Mapping Using Deep Learning Across Multi-Source Satellite Data and Geographic Regions
by: Burange, Rahul A., et al.
Published: (2025)
by: Burange, Rahul A., et al.
Published: (2025)
A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation
by: Najafian, Keyhan, et al.
Published: (2024)
by: Najafian, Keyhan, et al.
Published: (2024)
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision
by: Deb, Prantik, et al.
Published: (2023)
by: Deb, Prantik, et al.
Published: (2023)
Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings
by: Fadugba, Jeremiah, et al.
Published: (2025)
by: Fadugba, Jeremiah, et al.
Published: (2025)
rNCA: Self-Repairing Segmentation Masks
by: Silbernagel, Malte, et al.
Published: (2025)
by: Silbernagel, Malte, et al.
Published: (2025)
TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction
by: Bubba, Tatiana A., et al.
Published: (2025)
by: Bubba, Tatiana A., et al.
Published: (2025)
FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation
by: Tarubinga, Ebenezer, et al.
Published: (2025)
by: Tarubinga, Ebenezer, et al.
Published: (2025)
Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies
by: Górka, Monika, et al.
Published: (2024)
by: Górka, Monika, et al.
Published: (2024)
UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image Segmentation
by: Li, Yijie, et al.
Published: (2025)
by: Li, Yijie, et al.
Published: (2025)
Similar Items
-
Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2
by: Lou, Ange, et al.
Published: (2024) -
Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning
by: Hwang, Ung, et al.
Published: (2024) -
WS-SfMLearner: Self-supervised Monocular Depth and Ego-motion Estimation on Surgical Videos with Unknown Camera Parameters
by: Lou, Ange, et al.
Published: (2023) -
Self-STORM: Deep Unrolled Self-Supervised Learning for Super-Resolution Microscopy
by: Sahel, Yair Ben, et al.
Published: (2024) -
Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks
by: Patel, Neel, et al.
Published: (2024)