jeya-maria-jose/On-The-Fly-Adaptation
Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"
This tool helps medical imaging professionals maintain the accuracy of deep learning models when analyzing new patient scans that might look different from the data the model was originally trained on. You input a new medical image, and it intelligently adapts the existing model on-the-fly to provide a more accurate segmentation (e.g., identifying organs or anomalies) for that single image, without needing to retrain the entire model. This is ideal for radiologists, clinicians, or researchers working with diverse medical image datasets.
No commits in the last 6 months.
Use this if you are performing medical image segmentation and need your models to perform reliably on new, unseen patient data distributions without extensive retraining or complex adaptation setups.
Not ideal if you are working with non-medical image data or if you need to perform full model retraining on new datasets rather than single-image adaptation.
Stars
31
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jeya-maria-jose/On-The-Fly-Adaptation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
adapt-python/adapt
Awesome Domain Adaptation Python Toolbox
corenel/pytorch-adda
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers,...
thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
KaiyangZhou/Dassl.pytorch
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.