Imagen de Portada

Reimagining Image Segmentation using Active Contour: From Chan Vese Algorithm into a Proposal Novel Functional Loss Framework

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Guzzetta, Gianluca
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Medical Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Image Segmentation using Chan-Vese Active Contours
por: P, Pranav Shenoy K.
Publicado: (2025)

Modality-AGnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation
por: Summerfield, Nicholas, et al.
Publicado: (2025)

From Lines to Shapes: Geometric-Constrained Segmentation of X-Ray Collimators via Hough Transform
por: El-Zein, Benjamin, et al.
Publicado: (2025)

Improving Deformable Image Registration Accuracy through a Hybrid Similarity Metric and CycleGAN Based Auto-Segmentation
por: Shah, Keyur D., et al.
Publicado: (2024)

Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy
por: Kim, Sangwook, et al.
Publicado: (2024)

Sustainable Deep Learning-Based Breast Lesion Segmentation: Impact of Breast Region Segmentation on Performance
por: Narimani, Sam, et al.
Publicado: (2025)

Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior
por: Huang, Chaoxing, et al.
Publicado: (2024)

A Language Vision Model Approach for Automated Tumor Contouring in Radiation Oncology
por: Luo, Yi, et al.
Publicado: (2025)

Dynamic-Computed Tomography Angiography for Cerebral Vessel Templates and Segmentation
por: Yadav, Shrikanth, et al.
Publicado: (2025)

Multi-Subject Image Synthesis as a Generative Prior for Single-Subject PET Image Reconstruction
por: Webber, George, et al.
Publicado: (2024)

Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds
por: Poch, David Vallmanya, et al.
Publicado: (2025)

Enhancing Ultra-low-field MRI with Segmentation-guided Adversarial Learning
por: Grover, James, et al.
Publicado: (2026)

AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT Images
por: Ahamed, Shadab
Publicado: (2024)

PF-DAformer: Proximal Femur Segmentation via Domain Adaptive Transformer for Dual-Center QCT
por: Dhakal, Rochak, et al.
Publicado: (2025)

Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images
por: Ren, Jintao, et al.
Publicado: (2024)

A Green Solution for Breast Region Segmentation Using Deep Active Learning
por: Narimani, Sam, et al.
Publicado: (2026)

Segmentation Regularized Training for Multi-Domain Deep Learning Registration applied to MR-Guided Prostate Cancer Radiotherapy
por: Madhavan, Sudharsan, et al.
Publicado: (2025)

Development of an Unpaired Deep Neural Network for Synthesizing X-ray Fluoroscopic Images from Digitally Reconstructed Tomography in Image Guided Radiotherapy
por: Hayashi, Chisako, et al.
Publicado: (2025)

Sine Wave Normalization for Deep Learning-Based Tumor Segmentation in CT/PET Imaging
por: Ren, Jintao, et al.
Publicado: (2024)

Supervised Diffusion-Model-Based PET Image Reconstruction
por: Webber, George, et al.
Publicado: (2025)

Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification
por: Yang, Zhenyu, et al.
Publicado: (2025)

Clinical Metadata Guided Limited-Angle CT Image Reconstruction
por: Shi, Yu, et al.
Publicado: (2025)

Adaptive local boundary conditions to improve Deformable Image Registration
por: Inacio, Eloïse, et al.
Publicado: (2024)

Towards Automatic Identification of Missing Tissues using a Geometric-Learning Correspondence Model
por: Osorio, Eliana M. Vasquez, et al.
Publicado: (2025)

Physically Consistent Image Augmentation for Deep Learning in Mueller Matrix Polarimetry
por: Hahne, Christopher, et al.
Publicado: (2024)

Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration
por: Lei, Yang, et al.
Publicado: (2024)

Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
por: Balcerak, Michal, et al.
Publicado: (2024)

AI analysis of medical images at scale as a health disparities probe: a feasibility demonstration using chest radiographs
por: Whitney, Heather M., et al.
Publicado: (2025)

A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration
por: Weidner, Jonas, et al.
Publicado: (2024)

Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction
por: Webber, George, et al.
Publicado: (2025)

Physics-Constrained Diffusion Reconstruction with Posterior Correction for Quantitative and Fast PET Imaging
por: Hou, Yucun, et al.
Publicado: (2025)

Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction
por: Li, Xia, et al.
Publicado: (2024)

Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network
por: Tie, Xin, et al.
Publicado: (2024)

Enhancing efficiency in paediatric brain tumour segmentation using a pathologically diverse single-center clinical dataset
por: Piffer, A., et al.
Publicado: (2025)

Fast Trajectory-Independent Model-Based Reconstruction Algorithm for Multi-Dimensional Magnetic Particle Imaging
por: Gapyak, Vladyslav, et al.
Publicado: (2025)

HAITCH: A Framework for Distortion and Motion Correction in Fetal Multi-Shell Diffusion-Weighted MRI
por: Snoussi, Haykel, et al.
Publicado: (2024)

Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data
por: Moriakov, Nikita, et al.
Publicado: (2025)

Deep Few-view High-resolution Photon-counting CT at Halved Dose for Extremity Imaging
por: Li, Mengzhou, et al.
Publicado: (2024)

Enhancing and Accelerating Brain MRI through Deep Learning Reconstruction Using Prior Subject-Specific Imaging
por: Shamaei, Amirmohammad, et al.
Publicado: (2025)

A Vessel Bifurcation Landmark Pair Dataset for Abdominal CT Deformable Image Registration (DIR) Validation
por: Criscuolo, Edward R, et al.
Publicado: (2025)