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Organ Segmentation

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Showing 101–150 of 305 papers

TitleStatusHype
SP ^3 : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation—0
Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapyCode0
Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs—0
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation—0
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation—0
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning—0
Two Stage Segmentation of Cervical Tumors using PocketNet—0
MAISI: Medical AI for Synthetic ImagingCode0
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images—0
AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ SegmentationCode0
MOSMOS: Multi-organ segmentation facilitated by medical report supervision—0
Handling Geometric Domain Shifts in Semantic Segmentation of Surgical RGB and Hyperspectral Images—0
Alleviating Class Imbalance in Semi-supervised Multi-organ Segmentation via Balanced Subclass Regularization—0
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation—0
Deep Learning for Pancreas Segmentation: a Systematic Review—0
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation—0
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation—0
SliceMamba with Neural Architecture Search for Medical Image Segmentation—0
Medical Image Segmentation Using Directional Window AttentionCode0
Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation—0
Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation—0
UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentationCode0
XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT ScansCode0
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation—0
Real Time Multi Organ Classification on Computed Tomography Images—0
Discriminative features pyramid network for medical image segmentationCode0
Discriminative features pyramid network for medical image segmentationCode0
CFPFormer: Feature-pyramid like Transformer Decoder for Segmentation and Detection—0
Unlocking Robust Segmentation Across All Age Groups via Continual Learning—0
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning—0
Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior—0
Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels—0
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ SegmentationCode0
Dcl-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation—0
AnatoMix: Anatomy-aware Data Augmentation for Multi-organ Segmentation—0
Efficient 3D affinely equivariant CNNs with adaptive fusion of augmented spherical Fourier-Bessel basesCode0
Label-efficient Multi-organ Segmentation Method with Diffusion Model—0
Application analysis of ai technology combined with spiral CT scanning in early lung cancer screening—0
Two-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization—0
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans—0
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningCode0
UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained DatasetsCode0
Pelvic floor MRI segmentation based on semi-supervised deep learning—0
Leveraging point annotations in segmentation learning with boundary loss—0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation—0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Iterative Semi-Supervised Learning for Abdominal Organs and Tumor SegmentationCode0
Abdominal multi-organ segmentation in CT using Swinunter—0
Gastro-Intestinal Tract Segmentation Using an Explainable 3D Unet—0
Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency—0
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