moein99 commited on
Commit
d5fccc1
·
verified ·
1 Parent(s): 2a38827

Create README.md

Browse files
Files changed (1) hide show
  1. README.md +63 -0
README.md ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ pipeline_tag: image-segmentation
4
+ tags:
5
+ - medical-imaging
6
+ - echocardiography
7
+ - ultrasound
8
+ - multi-view-segmentation
9
+ - text-prompted-segmentation
10
+ - pytorch
11
+ - arxiv:2611.13425
12
+ ---
13
+
14
+ # Prompt2Echo (P2Echo)
15
+ ### Text-Prompted Multi-View Echocardiography Segmentation with One Model
16
+
17
+ Official pretrained weights for **P2Echo**, a unified framework for text-prompted segmentation of multiple cardiac structures across standard echocardiographic views.
18
+
19
+ P2Echo uses structured, view-aware text prompts to control segmentation through a single model. Its **Dynamic Image-Text Alignment (DyITA)** module adaptively conditions decoder features on the requested view and anatomical structure.
20
+
21
+ ## Resources
22
+
23
+ - 📄 **Paper:** https://arxiv.org/abs/2611.13425
24
+ - 💻 **Code:** https://github.com/moeinheidari7829/P2Echo
25
+ - 🌐 **Project Page:** https://moeinheidari7829.github.io/p2echo/
26
+ - 🤗 **Model Repository:** https://huggingface.co/moein99/P2Echo
27
+
28
+ ## Pretrained Weights
29
+
30
+ **[Download P2Echo Checkpoint (Google Drive)](https://drive.google.com/file/d/1wKF_MnWlMcpfYZTurb2wHOobENmhHQuj/view?usp=sharing)**
31
+
32
+ Download the checkpoint and place it at:
33
+
34
+ `checkpoints/p2echo.pth`
35
+
36
+ The model supports four echocardiographic views (2CH, 3CH, 4CH, PSAX) and five cardiac structures (LV, MYO, LA, RV, RA).
37
+
38
+ ## Installation
39
+
40
+ ```bash
41
+ git clone https://github.com/moeinheidari7829/P2Echo.git
42
+ cd P2Echo
43
+ pip install -r requirements.txt
44
+ ```
45
+
46
+ ## Evaluation
47
+
48
+ P2Echo is evaluated on an internal multi-view dataset and three held-out external datasets. Detailed quantitative comparisons, ablation studies, and implementation details are available in the paper.
49
+
50
+ ## Citation
51
+
52
+ ```bibtex
53
+ @article{heidari2026p2echo,
54
+ title={Prompt2Echo (P2Echo): Text-Prompted Multi-View Echocardiography Segmentation with One Model},
55
+ author={Heidari, Moein and Kimbowa, Alvin and Tabatabaei, Mahdi and Bozorgpour, Afshin and Ghorbani Kolahi, Sina and Jiang, River and Chen, Wenjin and Foran, David J. and Grewal, Jasmine and Merhof, Dorit and Hacihaliloglu, Ilker},
56
+ journal={arXiv preprint arXiv:2611.13425},
57
+ year={2026}
58
+ }
59
+ ```
60
+
61
+ ## Intended Use
62
+
63
+ This model is intended for research in medical image analysis and echocardiographic segmentation. It has not been validated for clinical decision-making.