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Reference PyTorch implementation and models for DINOv3
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet …
An object relational mapping for the LIDC dataset using sqlalchemy.
Example models using DeepSpeed
nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+ diverse 3D datasets, it sets a new stan…
Vertebral-level CT/X-ray registration through joint 3D Radiative Gaussians (RadGS) reconstruction and 3D/3D registration.
The official code for "Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data".
A package to compute medical segmentation metrics.
⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on d…
We propose a two-stage model for tumor segmentation.
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Official repository for autoPET/CT IV machine learning challenge
[TMI 2025] Zig-RiR: Zigzag RWKV-in-RWKV for Efficient Medical Image Segmentation
Official code of MICCAI'23 paper "Text-guided Foundation Model Adaptation for Pathological Image Classification"
vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
An explainable longitudinal multi-modal fusion model for predicting neoadjuvant therapy response in breast cancer treatment
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.