ki-sun Lee's repositories
CNN-for-Mammography-Classification
Using Pretrained CNN models for Mammography Classification
retinopathy-inceptionv3-transfer-learning
Diabetic Retinopathy Detection - Kaggle notebook evaluation
2020AIChallenge_Solution
2020년 nipa에서 개최한 AI 챌린지 수상 코드를 올려놓은 레포(상금 1.6억원)
CaDRReS
Cancer Drug Response prediction using a Recommender System
Cat-Dog-Classification-Flask-App
We successfully built a deep neural network model by implementing Convolutional Neural Network (CNN) to classify dog and cat images with very high accuracy 97.32 %. In addition, we also built a Flask application so user can upload their images and classify easily.
xray_classification_with_tpus
Fork from Keras Code Examples (https://keras.io/examples/)
COVID-Net
COVID-Net Open Source Initiative
detectron2-pipeline
Modular image processing pipeline using OpenCV and Python generators powered by Detectron2.
handtracking
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
image-segmentation
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
keras-maskrcnn
Keras implementation of MaskRCNN object detection.
Labelbox
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
lung-segmentation-2d
Lung fields segmentation on CXR images using convolutional neural networks.
Mortality-Prediction-using-Machine-Learning-Techniques
The prediction of mortality of a human is a foremost challenging task in today’s era. We are evaluating the prediction model on 79999 patients with 342 features. Here we have predicted mortality of patient i.e. (DEAD or ALIVE) who is admitted in the hospital using Deep Neural Networks and various Machine Learning methods where Linear SVM showed the best accuracy.
pyvital
Open source python implementation of medical algorithms
segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
sunnys-lab
Profile
Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
TFDeepSurv
COX Proportional risk model and survival analysis implemented by tensorflow.
tooth-detection
🦷 Detection of restorations and treatments on dental x-rays in Tensorflow, using Faster-RCNN