Semantic segmentation on multi-resolution optical and microwave data using deep learning
Fuente:
arXiv
Saved in:
| Main Authors: | Singla, Jai G, Vaghela, Bakul |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Classification of residential and non-residential buildings based on satellite data using deep learning
by: Singla, Jai G
Published: (2024)
by: Singla, Jai G
Published: (2024)
Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data
by: Yu, J., et al.
Published: (2025)
by: Yu, J., et al.
Published: (2025)
Denoising, segmentation and volumetric rendering of optical coherence tomography angiography (OCTA) image using deep learning techniques: a review
by: Chen, Kejie, et al.
Published: (2025)
by: Chen, Kejie, et al.
Published: (2025)
Multi-temporal crack segmentation in concrete structures using deep learning approaches
by: Harb, Said, et al.
Published: (2024)
by: Harb, Said, et al.
Published: (2024)
Deep Learning Aided Vision System for Planetary Rovers
by: Relia, Lomash, et al.
Published: (2026)
by: Relia, Lomash, et al.
Published: (2026)
Improving the generalization of deep learning models in the segmentation of mammography images
by: Hurtado, Jan, et al.
Published: (2025)
by: Hurtado, Jan, et al.
Published: (2025)
3D forest semantic segmentation using multispectral LiDAR and 3D deep learning
by: Takhtkeshha, Narges, et al.
Published: (2025)
by: Takhtkeshha, Narges, et al.
Published: (2025)
Improving 3D deep learning segmentation with biophysically motivated cell synthesis
by: Bruch, Roman, et al.
Published: (2024)
by: Bruch, Roman, et al.
Published: (2024)
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences
by: Jiang, Jue, et al.
Published: (2024)
by: Jiang, Jue, et al.
Published: (2024)
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI
by: Ruiz-Perez, Marina, et al.
Published: (2024)
by: Ruiz-Perez, Marina, et al.
Published: (2024)
Comprehensive segmentation of deep grey nuclei from structural MRI data
by: Saranathan, Manojkumar, et al.
Published: (2025)
by: Saranathan, Manojkumar, et al.
Published: (2025)
Super-resolution multi-contrast unbiased eye atlases with deep probabilistic refinement
by: Lee, Ho Hin, et al.
Published: (2024)
by: Lee, Ho Hin, et al.
Published: (2024)
Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI
by: Liu, Mingxuan, et al.
Published: (2026)
by: Liu, Mingxuan, et al.
Published: (2026)
High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models
by: Rodrigues, Livia, et al.
Published: (2024)
by: Rodrigues, Livia, et al.
Published: (2024)
GDCNet: Calibrationless geometric distortion correction of echo planar imaging data using deep learning
by: Jimeno, Marina Manso, et al.
Published: (2024)
by: Jimeno, Marina Manso, et al.
Published: (2024)
Regional quality estimation for echocardiography using deep learning
by: Van De Vyver, Gilles, et al.
Published: (2024)
by: Van De Vyver, Gilles, et al.
Published: (2024)
Enhanced fringe-to-phase framework using deep learning
by: Kim, Won-Hoe, et al.
Published: (2024)
by: Kim, Won-Hoe, et al.
Published: (2024)
Promptable cancer segmentation using minimal expert-curated data
by: Karam, Lynn, et al.
Published: (2025)
by: Karam, Lynn, et al.
Published: (2025)
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning
by: Bujny, Mariusz, et al.
Published: (2024)
by: Bujny, Mariusz, et al.
Published: (2024)
OCTolyzer: Fully automatic toolkit for segmentation and feature extracting in optical coherence tomography and scanning laser ophthalmoscopy data
by: Burke, Jamie, et al.
Published: (2024)
by: Burke, Jamie, et al.
Published: (2024)
Lidar-based Norwegian tree species detection using deep learning
by: Vermeer, Martijn, et al.
Published: (2023)
by: Vermeer, Martijn, et al.
Published: (2023)
High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach
by: Schwartz, Martin, et al.
Published: (2022)
by: Schwartz, Martin, et al.
Published: (2022)
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans
by: Al-Battal, Abdullah F., et al.
Published: (2024)
by: Al-Battal, Abdullah F., et al.
Published: (2024)
MRAnnotator: multi-Anatomy and many-Sequence MRI segmentation of 44 structures
by: Zhou, Alexander, et al.
Published: (2024)
by: Zhou, Alexander, et al.
Published: (2024)
Cardiac valve event timing in echocardiography using deep learning and triplane recordings
by: Fermann, Benjamin Strandli, et al.
Published: (2024)
by: Fermann, Benjamin Strandli, et al.
Published: (2024)
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
by: Luo, Gongning, et al.
Published: (2023)
by: Luo, Gongning, et al.
Published: (2023)
Domain generalization in fetal brain MRI segmentation \\with multi-reconstruction augmentation
by: de Dumast, Priscille, et al.
Published: (2022)
by: de Dumast, Priscille, et al.
Published: (2022)
Region-based U-net for accelerated training and enhanced precision in deep brain segmentation
by: Li, Mengyu, et al.
Published: (2024)
by: Li, Mengyu, et al.
Published: (2024)
Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data
by: Svanera, Michele, et al.
Published: (2022)
by: Svanera, Michele, et al.
Published: (2022)
Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently available models
by: Cepeda, Santiago, et al.
Published: (2024)
by: Cepeda, Santiago, et al.
Published: (2024)
Classification based deep learning models for lung cancer and disease using medical images
by: Chaddad, Ahmad, et al.
Published: (2025)
by: Chaddad, Ahmad, et al.
Published: (2025)
Converting T1-weighted MRI from 3T to 7T quality using deep learning
by: Gicquel, Malo, et al.
Published: (2025)
by: Gicquel, Malo, et al.
Published: (2025)
Text-guided multi-stage cross-perception network for medical image segmentation
by: Chen, Gaoyu, et al.
Published: (2025)
by: Chen, Gaoyu, et al.
Published: (2025)
Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation
by: Sadikine, Amine, et al.
Published: (2024)
by: Sadikine, Amine, 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)
Vision Transformers increase efficiency of 3D cardiac CT multi-label segmentation
by: Jollans, Lee, et al.
Published: (2023)
by: Jollans, Lee, et al.
Published: (2023)
A 3D generative model of pathological multi-modal MR images and segmentations
by: Fernandez, Virginia, et al.
Published: (2023)
by: Fernandez, Virginia, et al.
Published: (2023)
Estimation of FFR in coronary arteries with deep learning
by: Rygiel, Patryk
Published: (2024)
by: Rygiel, Patryk
Published: (2024)
Towards a deep learning approach for classifying treatment response in glioblastomas
by: Matoso, Ana, et al.
Published: (2025)
by: Matoso, Ana, et al.
Published: (2025)
SUFFICIENT: A scan-specific unsupervised deep learning framework for high-resolution 3D isotropic fetal brain MRI reconstruction
by: Wu, Jiangjie, et al.
Published: (2025)
by: Wu, Jiangjie, et al.
Published: (2025)
Similar Items
-
Classification of residential and non-residential buildings based on satellite data using deep learning
by: Singla, Jai G
Published: (2024) -
Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data
by: Yu, J., et al.
Published: (2025) -
Denoising, segmentation and volumetric rendering of optical coherence tomography angiography (OCTA) image using deep learning techniques: a review
by: Chen, Kejie, et al.
Published: (2025) -
Multi-temporal crack segmentation in concrete structures using deep learning approaches
by: Harb, Said, et al.
Published: (2024) -
Deep Learning Aided Vision System for Planetary Rovers
by: Relia, Lomash, et al.
Published: (2026)