30 Open source projects that are alternatives of or similar to prostateMR_3D-CAD-csPCa

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

Multi heads attention for image classification

Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.

Artificial Intelligence: Evaluating AI, optimizing AI

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

Executables for ROMEO unwrapping for Linux, Windows and Mac OSX

Intensity normalization of multi-channel MRI images using the method proposed by Nyul et al. 2000

A pipeline to extract vessels from MR images and perform analysis.

RESTful PACS server with plugins

Alzheimer's Disease Prediction by using ResNet, AlexNet

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

U-Net for biomedical image segmentation

A NIfTI (nii.gz) 3D Visualizer using VTK and Qt5

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Convolutional AutoEncoder application on MRI images

Segmentation of prostate from MRI scans

VNet for 3d volume segmentation

Specialized tools for MRI

Computer-assisted image straightening and cropping

📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈

prostatecancer.ai is an AI-based, zero-footprint medical image viewer that can identify clinically significant prostate cancer.

RECOD Titans participation at the ISBI 2017 challenge - Part 3

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

🛠 Mask R-CNN Keras to Tensorflow and TFX models + Serving models using TFX GRPC & RESTAPI

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

基于tf.keras的多标签多分类模型

Segmentation models with pretrained backbones. PyTorch.