kennethschen / Classification-Confidence-IntervalsLinks
PyPI package to calculate comprehensive confidence intervals for classification positive rate, precision, NPV, and recall using a labeled sample via exact & approximate Frequentist & Bayesian setups.
☆10Updated 2 years ago
Alternatives and similar repositories for Classification-Confidence-Intervals
Users that are interested in Classification-Confidence-Intervals are comparing it to the libraries listed below
Sorting:
- Extension to fastai for volumetric medical data☆33Updated 2 years ago
- The fast version of DeLong's method for computing the covariance of unadjusted AUC.☆163Updated 3 months ago
- Fastai extension to work with 3d medical images☆41Updated 6 years ago
- Predict the status of a genetic biomarker important for brain cancer treatment☆39Updated 4 months ago
- EfficientNets in 3D variant for keras and TF.keras☆54Updated 4 years ago
- Material for the 2020 MONAI Bootcamp☆65Updated 5 years ago
- Tutorial on survival analysis using TensorFlow.☆47Updated 5 years ago
- ☆49Updated 6 years ago
- pytorch dataset class for reading and transforming NIfTI files☆64Updated 4 years ago
- Survival analysis using Deep Learning.☆15Updated 2 years ago
- Medical images I/O python package☆34Updated 4 months ago
- Discrete-Time Survival Model for Neural Networks☆94Updated last year
- Baseline for Duke DBT detection dataset☆15Updated 5 years ago
- A generalizable application framework for segmentation, regression, and classification using PyTorch☆189Updated 5 months ago
- Pretrained parameters for CT deep learning models.☆13Updated 6 years ago
- CheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet☆58Updated 5 years ago
- 🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease☆176Updated 6 years ago
- Individual Coefficient Approximation for Risk Estimation (ICARE) model☆18Updated 2 years ago
- This python script computes and plots a FROC curve - Free-response Receiver Operating Characteristic - from numpy arrays.☆36Updated 7 years ago
- Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN …☆35Updated 5 years ago
- Implementation of "Practical Window Setting Optimization for Medical Image Deep learning"☆42Updated 6 years ago
- Set of models for classifcation of 3D volumes☆188Updated last year
- An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization☆183Updated last year
- Training neural networks in PyTorch☆27Updated last year
- Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021☆81Updated 3 years ago
- MONAIViz - 3D Slicer Extension☆26Updated last month
- Meta-repository of screening mammography classifiers☆71Updated 3 years ago
- Multi-class U-Net for head CT segmentation☆35Updated 8 months ago
- Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab☆30Updated 3 years ago
- Large Covid-19 CT scans dataset from the paper: https://doi.org/10.1016/j.bspc.2021.102588☆88Updated 4 years ago