| zhwhong/lidc_nodule_detection |
162 |
|
0 |
0 |
about 7 years ago |
0 |
|
8 |
|
Jupyter Notebook |
| lidc nodule detection with CNN and LSTM network |
| AiAiHealthcare/ProjectAiAi |
86 |
|
0 |
0 |
over 5 years ago |
0 |
|
10 |
agpl-3.0 |
Dockerfile |
| AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet. |
| harsh1795/CNN-DICOM-Segmentation |
57 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| DICOM Image Segmentation with CNNs in Tensorflow |
| ben-heil/DICOM-CNN |
26 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
mit |
Python |
| Convolutional neural network solution for deep learning from DICOM images |
| radtorch/radtorch |
11 |
|
0 |
0 |
almost 4 years ago |
1 |
March 09, 2020 |
1 |
other |
Python |
| Official repository for RADTorch - The Medical Imaging Machine Learning Framework |
| hyeongyuy/CT-RED_CNN_tensorflow |
7 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Python |
| Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN) |
| daintlab/ct-denoising |
5 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Python |
