Papers with Code 아카이브

3D Medical Imaging Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 1
평가표: 1
보존된 평가 기록: 2

3D medical imaging segmentation is the task of segmenting medical objects of interest from 3D medical imaging.

<span style="color:grey; opacity: 0.6">( Image credit: Elastic Boundary Projection for 3D Medical Image Segmentation )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.55860.com/perceivelab/panknet

공식 코드

Hierarchical 3D Feature Learning for Pancreas Segmentation

https://github.com/HaoZheng94/Ensemble

공식 코드

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation

https://github.com/HiLab-git/SSL4MIS

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Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation

https://github.com/JunMa11/AbdomenCT-1K

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AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?

https://github.com/MIMBCD-UI/prototype-multi-modality

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BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis

https://github.com/MiguelMonteiro/CRFasRNNLayer

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Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation

https://github.com/MiguelMonteiro/permutohedral_lattice

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Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation

https://github.com/Project-MONAI/research-contributions/tree/master/UNETR/BTCV

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UNETR: Transformers for 3D Medical Image Segmentation

https://github.com/Tencent/MedicalNet

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Med3D: Transfer Learning for 3D Medical Image Analysis

https://github.com/arcadelab/fastsam3d

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FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

https://github.com/arnab39/FewShot_GAN-Unet3D

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Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

https://github.com/cshwhale/Med3D

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Med3D: Transfer Learning for 3D Medical Image Analysis

https://github.com/freesurfer/freesurfer/tree/dev/samseg

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An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation

https://github.com/freshman97/lintransunet

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Dynamic Linear Transformer for 3D Biomedical Image Segmentation

https://github.com/gift-surg/HighRes3DNet

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On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

https://github.com/holgerroth/3Dunet_abdomen_cascade

공식 코드

An application of cascaded 3D fully convolutional networks for medical image segmentation

https://github.com/hossein1387/U-Net-Fixed-Point-Quantization-for-Medical-Image-Segmentation

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U-Net Fixed-Point Quantization for Medical Image Segmentation

https://github.com/hritam-98/ict-medseg

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An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation

https://github.com/huiimin5/comwin

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Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation

https://github.com/ituvisionlab/Uncertainty-Based-Dynamic-Graph-Neighborhoods

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Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation

https://github.com/jeya-maria-jose/KiU-Net-pytorch

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KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation

https://github.com/josedolz/3D-F-CNN-BrainStruct

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3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

https://github.com/josedolz/LiviaNET

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3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

https://github.com/kunzhan/cks_pancreas

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Curriculum Knowledge Switching for Pancreas Segmentation

https://github.com/lhaof/nnmamba

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nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model

https://github.com/masilab/influence_of_fusion_on_pancreas_segmentation

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Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI

https://github.com/mateuszbuda/brain-segmentation

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Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

https://github.com/mattiaspaul/TernaryNet

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TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions

https://github.com/mediabrain-sjtu/lorkd

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LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models

https://github.com/mist-medical/MIST

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MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework

https://github.com/nubagcilab/pansegnet

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Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning

https://github.com/nubagcilab/peri-pancreatic-edema-detection

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Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques

https://github.com/ozan-oktay/Attention-Gated-Networks

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Attention U-Net: Learning Where to Look for the Pancreas

https://github.com/sjtubme-qianlab/dual-task-seg

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A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans

https://github.com/steve-zeyu-zhang/SegReg

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SegReg: Segmenting OARs by Registering MR Images and CT Annotations

https://github.com/tbuikr/3D_DenseSeg

공식 코드

3D Densely Convolutional Networks for Volumetric Segmentation

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