metadata
license: cc-by-nc-sa-4.0
language:
- en
tags:
- vision-language pretraining
- medical
- ct diagnosis
RADAR: An Expert-Level Generalist AI for Abdominal CT Diagnosis
RADAR is a generalist vision-language model trained on over 400,000 contrast-enhanced abdominal CT examinations with 15 million anatomy-aware image–text pairs, learning directly from clinical reports without manual annotation. RADAR provides a scalable and versatile framework for radiology AI, demonstrating expert-level performance across both routine and complex clinical tasks.
Model Preparation
Pre-trained checkpoints are available on HuggingFace.
| File | Description | Destination |
|---|---|---|
checkpoint_radar_pretrain.pth |
RADAR pre-trained on RAD-CT | radar/ckpt/checkpoint_radar_pretrain.pth |
bert-base-chinese |
BERT tokenizer and model (Chinese) | radar/ckpt/bert-base-chinese/ |
bert-base-uncased |
BERT tokenizer and model (English) | radar/ckpt/bert-base-uncased/ |
checkpoint_unet.pth |
Pretrained VisionBranch (UNet) checkpoint | radar/ckpt/checkpoint_unet.pth |
checkpoint_radar_plus.pth |
RADAR+ checkpoint trained from scratch on Merlin-CT-Train | radar/ckpt/checkpoint_radar_plus.pth |
checkpoint_radar_plus_finetuned_on_merlin.pth |
RADAR+ checkpoint pretrained on RAD-CT and finetuned on Merlin-CT-Train | radar/ckpt/checkpoint_radar_plus_finetuned_on_merlin.pth |