Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Dltk | 1,293 | 2 years ago | 11 | apache-2.0 | Python | |||||
Deep Learning Toolkit for Medical Image Analysis | ||||||||||
Bmi704_spring2019 | 101 | 5 years ago | 1 | |||||||
Repo for Harvard Medical School: BMI704, Spring 2019 | ||||||||||
Models | 91 | 6 years ago | apache-2.0 | Jupyter Notebook | ||||||
DLTK Model Zoo | ||||||||||
Medtagger | 82 | 2 years ago | 117 | apache-2.0 | Python | |||||
A collaborative framework for annotating medical datasets using crowdsourcing. | ||||||||||
Mri Analysis Pytorch | 52 | 6 years ago | 1 | Jupyter Notebook | ||||||
MRI analysis using PyTorch and MedicalTorch | ||||||||||
Eds Scikit | 27 | 5 months ago | 9 | September 27, 2023 | 7 | bsd-3-clause | Python | |||
eds-scikit is a Python library providing tools to process and analyse OMOP data | ||||||||||
Fhir Kindling | 12 | 3 | 8 months ago | 37 | September 13, 2023 | 10 | mit | Python | ||
HL7 FHIR client library. Sync and async crud operations against R4 FHIR servers. Resource validation & serialization | ||||||||||
Clinical Rule Vetting | 12 | 9 months ago | 4 | mit | Jupyter Notebook | |||||
Learning clinical-decision rules with interpretable models. | ||||||||||
Medical Insurance Fraud Detection | 9 | 6 years ago | Jupyter Notebook | |||||||
A competition held by Chinese society of social insurance and Aibaba Group. I individually got the ranking of 15 in the first round and 16 in the second round among 1300+ teams. | ||||||||||
Respiratory Diseases Recognition Through Respiratory Sound With The Help Of Deep Neural Network | 8 | 3 years ago | Python | |||||||
Prediction of respiratory diseases such as COPD(Chronic obstructive pulmonary disease), URTI(upper respiratory tract infection), Bronchiectasis, Pneumonia, Bronchiolitis with the help of deep neural networks or deep learning. We have constructed a deep neural network model that takes in respiratory sound as input and classifies the condition of its respiratory system. It not only classifies among the above-mentioned disease but also classifies if a person’s respiratory system is healthy or not with higher accuracy and precision. |