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3d-bonet

🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)

3d-boundingbox

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

3d-boundingbox-1

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

3dfasterrcnn_lungnoduledetector

3dunetcnn

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

aide

AIDE: Annotation-efficient deep learning for automatic medical image segmentation

asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

caffe_3d_faster_rcnn

Caffe for 3D organ localization in CT image

caffe_triple-branch_fcn

Triple-branch FCN for organ localization

cbir

cfun

Combining Faster R-CNN and U-net for efficient medical image segmentation

dagan

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

dc-unet

We proposed a novel U-Net-based model -- DC-UNet to do medical image segmentation.

deep-learning-on-medical-image

Paper LIst about Deep Learning on Medical-Image

deeplearninginmedicalimagingandmedicalimageanalysis

deepregistration

gdl-fire-4d

General deep learning-based fast image registration framework for clinical thoracic 4D CT data

git-demo

git-test

jd_seckill

京东秒杀商品抢购，目前只支持茅台抢购，不支持其他商品！

kerastfpoj

keras+tensorflow实现的各种神经网络

lasagne

Lightweight library to build and train neural networks in Theano

left_ventricle_detection

lungct3d

3D Content-based Medical Image Retrieval for Lung CT

medical-detection3d-toolkit

Landmark and object detection engine for 3D medical images

medical-healthcare-3d-imaging-ai

:hospital: :eye_speech_bubble: Medical Healthcare AI | Robotic Surgery | Automated Brain Tumour Segmentation | Skin Cancer Lesion Detection & Segmentation (Melonama Recognition) | Lung Cancer detection (Chest CT Scan) | IMAGE SEGMENTATION TECHNIQUES

medical_analysis_machine_learning

This repo is dedicated to the medical reserach for skin and breast cancer and brain tumor detection detection by using NN and SVM and vgg19

medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.