ku-milab / MGICNN
Implementation of "Multi-scale Gradual Itegration Convolutional Neural Network for False Positive Reduction in Pulmonary Nodule Detection"
☆35Updated 5 years ago
Alternatives and similar repositories for MGICNN:
Users that are interested in MGICNN are comparing it to the libraries listed below
- Scripts for the preprocessing of LIDC-IDRI data☆77Updated 5 years ago
- Supporting code for the paper "Highly accurate model for prediction of lung nodule malignancy with CT scans".☆36Updated 6 years ago
- DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection☆111Updated last year
- WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"☆156Updated 5 years ago
- Variant VNet family☆83Updated 4 years ago
- X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Seperable Convolution and Long Range Dependencies (MICCAI 2019)☆53Updated 4 years ago
- PAIP2019: Liver Cancer Segmentation☆33Updated last year
- Implementation code for "Lung Nodule Detection and Classification from Thorax CT-Scan Using RetinaNet with Transfer Learning" (2020)☆31Updated 3 months ago
- lung nodule detector using 3d resnet using focal loss☆75Updated 6 years ago
- Liver and liver tumors segmentation using deep learning☆24Updated 6 years ago
- Lung Segmentation UNet model on 3D CT scans☆50Updated 5 years ago
- KiTS19——2019 Kidney Tumor Segmentation Challenge☆119Updated 4 years ago
- [MICCAI2020]CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans☆56Updated last year
- A 3D U-Net Based Solution to BraTS 2019 in Keras☆50Updated 4 years ago
- Lung nodule classification / False positives reduction track codes☆23Updated 4 years ago
- [MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation☆200Updated 4 years ago
- DeepLung PyTorch1.0 Python3.7 with multi GPUs☆26Updated 5 years ago
- Using U-net, 3D CNN and cGAN to accomplish Pulmonary Nodule Detection. Also it's my undergraduate research program.☆39Updated last year
- 3D-Unet: patched based Pytorch implementation for medical images segmentation☆63Updated 3 years ago
- Automatic end-to-end lung tumor segmentation from CT images.☆28Updated last year
- U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation☆33Updated 4 years ago
- ☆44Updated 4 years ago
- Liver Lesion Segmentation with 2D Unets☆97Updated 5 years ago
- We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D U…☆160Updated 6 years ago
- Lung fields segmentation on tomography images using convolutional neural networks.☆98Updated 7 years ago
- Developing a well-documented repository for the Lung Nodule Detection task on the Luna16 dataset. This work is inspired by the ideas of t…☆79Updated 3 years ago
- Network Architecture for the ISBI_2018 paper : DIAGNOSTIC CLASSIFICATION OF LUNG NODULES USING 3D NEURAL NETWORKS☆25Updated 6 years ago
- Multimodal Brain Tumor Segmentation Challenge 2018☆52Updated 4 years ago
- Code for training a 3DUnet for Brain tumour segmentation from Brats 2019 dataset; for feature extraction from the segmented volumes and f…☆23Updated 4 years ago
- Automated Extraction and Classification of Pulmonary Lung Nodules from CT Scans☆149Updated 6 years ago