Comments (3)
From what I've seen from the original SAM2 (and I assume Medical-SAM2), the model is pretty robust to changes to the frame ordering (you can give frames out-of-order and it still works), though giving continuous looking sequences (whether regular or reversed order) should work best.
So it should be fine to pick a frame where it's easy to get a good segmentation, then propagate 'forward in time' until the segmentation is lost, then go back to the prompted frame (and reset the memory bank) and run 'backwards in time' to get the segmentations for frames prior to the prompted frame.
from medical-sam2.
yes, I agree the comments provided by @heyoeyo and thanks for the well explanation. additionally, the two quotes we are referring to the One-prompt Segmentation capability in 2d cases, regardless of temporal relationships between the images.
from medical-sam2.
Thank you to both of you! I understand now.
So the complete workflow would be to
- Go to the first labelled slice and segment forward and backward in the volume to create a (partial) segmentation of the volume.
- Go to the second labelled slice and create another partial segmentation. Similarly for all other labeled slices.
- Combine the partial segmentations to a "complete" segmentation of the volume.
- Show to the user for further annotations.
- Repeat.
from medical-sam2.
Related Issues (20)
- Dataset Format for the Training Task HOT 1
- How to predict? HOT 1
- 请问如何在python3.10下编译运行train_3d.py HOT 1
- installing requirements in kaggle HOT 2
- Is there any available code for inference? HOT 2
- training error HOT 3
- inference error HOT 9
- Details about Experiment on STARE Vessel Dataset HOT 2
- one-shot inference HOT 1
- About video_length? HOT 1
- 是否支持无标签预测? HOT 1
- Is there code for segmentation visualization? HOT 1
- Implementation of weighted pick up strategy and 'confidence-first' HOT 1
- MaskDecoder resolution HOT 4
- Support for One-Prompt segmentation HOT 1
- RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead. HOT 1
- The results that I produced using REFUGE_disc is worse than REFUGE_cup
- 3D训练时loss的梯度更新和参数更新 HOT 1
- predict HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from medical-sam2.