3d-classification

The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classiﬁer')

deep-learning pytorch centerline centerline-detection vessel medical-image-processing 3d-cnn 3d-classification coronary-artery centerline-extraction 3d-cnn-tracker blood-vessel

Updated Aug 30, 2021
Python

ZFTurbo / classification_models_3D

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Set of models for classifcation of 3D volumes

deep-learning keras image-classification 3d-classification

Updated May 2, 2024
Python

divanoLetto / 3D_STEP_Classification

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A new approach for retrieval and classification of 3D models that directly performs in the CAD format without any format conversion to other representations like point clouds of meshes, thus avoiding any loss of information.

machine-learning pytorch cad 3d-classification graph-neural-networks cad-retrieval cad-classification

Updated Apr 5, 2023
Python

ZFTurbo / timm_3d

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PyTorch Volume Models for 3D data

pytorch vgg classification pretrained-models 3d-models 3d-convolutional-network densenet-pytorch 3d-resnet 3d-classification efficientnet timm 3d-vgg maxvit 3d-maxvit

Updated Aug 1, 2024
Python

engelnico / point-transformer

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This is the official repository of the original Point Transformer architecture.

deep-learning pytorch transformer classification segmentation attention-mechanism modelnet 3d-segmentation shapenet-dataset 3d-classification multi-head-attention transformer-architecture modelnet-dataset 3d-point-cloud 3d-pointclouds sortnet modelnet40 shapenetpart

Updated Apr 6, 2022
Python

anindox8 / Deep-Segmentation-Features-for-Weakly-Supervised-3D-Disease-Classification-in-Chest-CT

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Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN architecture (DenseVNet, 3D Residual U-Net).

deep-learning convolutional-neural-networks multi-resolution weakly-supervised-learning resnet50 3d-classification tensorflow-estimator ct-imaging segmentation-features densevnet lung-disease feature-aggregation

Updated Oct 7, 2020
Python

minzhang-1 / PointHop

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PointHop: An Explainable Machine Learning Method for Point Cloud Classification

machine-learning point-cloud classification feedforward 3d-classification

Updated Jul 14, 2020
Python

minzhang-1 / PointHop2

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PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification

point-cloud classification 3d-graphics 3d-classification

Updated Jul 14, 2020
Python

minzhang-1 / PointHop-PointHop2_Spark

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A fast and low memory requirement version of PointHop and PointHop++, which is built upon Apache Spark.

python spark point-cloud pyspark feature-extraction pca classification knn 3d least-square-regression 3d-classification

Updated Jul 14, 2020
Python

kentaroy47 / kaggle-nflimpact-13thplace

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Solution of team tara: Public 7th, Private 13th (The renewed pipeline scores 8th place)

pytorch kaggle video-recognition 3d-classification

Updated Jan 28, 2021
Jupyter Notebook

w00zie / 3d_face_class

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3D Face Classification with Graph Neural Networks

torch attention attention-mechanism meshes 3d-face geometric-deep-learning gnns 3d-classification graph-neural-networks gnn graph-neural-network face-classification

Updated Dec 14, 2020
Python

mbiparva / mitorch

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This package implements deep learning modules for medical imaging application in PyTorch (miTorch).

deep-learning pytorch medical-imaging unet 3d-segmentation 3d-classification

Updated Aug 8, 2021
Python

fitushar / multi-label-weakly-supervised-classification-of-body-ct

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A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels were used to create deep learning models to classify multiple diseases for three different organ systems in body CT.