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C3VD

Colonoscopy 3D Video Dataset (C3VD) acquired with a high definition clinical colonoscope and high-fidelity colon models for benchmarking computer vision methods in colonoscopy.

Language:C++3400

PRISM

[MICCAI 2024 Early Acceptance] PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts

Language:PythonApache-2.0600

finetune-SAM

This is an official repo for fine-tuning SAM to customized medical images.

Language:PythonApache-2.05300

GenericSSL

NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

Language:Python6700

UniSeg

MICCAI 2023 Paper (Early Acceptance)

Language:PythonNOASSERTION15000

LG_SDG

Language Grounded Single Source Domain Generalization in Medical Image Segmentation [ISBI2024]

Language:Jupyter Notebook2500

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

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VISTA

MONAI Versatile Imaging Segmentation and Annotation

Language:PythonApache-2.09100

Semantic-SAM

Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

Language:Python199900

Semantic-Segment-Anything

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

Language:PythonApache-2.0202300

SubMarkov-Random-Walk-for-Image-Segmentation-

SubMarkov Random Walk for Image Segmentation

Language:Matlab2000

LabelFusion

Implementation of various label fusion approaches for medical imaging.

Language:PythonApache-2.01200

SuPreM

[ICLR 2024] Supervised Pre-Trained 3D Models for Medical Image Analysis

Language:PythonApache-2.015500

stable-diffusion-webui-depthmap-script

High Resolution Depth Maps for Stable Diffusion WebUI

Language:PythonMIT163000

SAM-6D

[CVPR2024] Code for "SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation".

Language:Python25400

Medical-Image-Segmentation

MedSeg: Medical Image Segmentation GUI Toolbox 可视化医学图像分割工具箱

Language:Python16600

kornia

Geometric Computer Vision Library for Spatial AI

Language:PythonApache-2.0953600

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

Language:PythonMIT159000

geodesic_distance_transform

(Geodesic) Distance Transform following Toivanen et al (1996)

Language:Python2200

Causality-Medical-Image-Domain-Generalization

[IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)

Language:Jupyter Notebook7400

ritm_interactive_segmentation

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

Language:PythonMIT61300

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

Language:PythonApache-2.051300

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