Project

WE_LUNG_U

This project is public.

This a website that predicts and reports whether the CT image of the lung uploaded by the user is lung cancer, nodule, or Coivd-19.
If you want to check if your lungs are healthy, try it right away!

Contents

1. 01 Introduction

1. Introduction

2. 02 Problem recognition

1.problem definition - why did we decide on this idea?

1. Problem definition

[About AtoZ of our projects] 1. Setup Environment -> 2. Web Development -> 3. Data Preparation -> 4. Machine Learning

1. Details of idea(Setup environment~Web development)

2. Details of idea(Data preparation~Machine learning)

4. 04 All for nothing

우리는 고생했지만 당신은 고생하지 말라..! 공익을 위해 작성하는 ~C677의 삽질 연대기~ We've had a hard time, but you shouldn't! ~C677's list of all for nothing~ for the Public Inter…

1. When you encounter a path error while using Docker

2. When our website looks bad

3. Extract RoI from CT image

4. Convert .csv file to .json file

5. Conduct Machine Learning using Torchvision

6. Conduct Machine Learning using Detectron2

7. About Faster R-CNN process

5. 05 AI application

1. Faster R-CNN(explanation) -> 2. Predict lung disease segmentation -> 3. Main code (AI)

1. Faster R-CNN

2. Predict Lung Disease

6. 06 Feasibility and Future work

1. Feasibility and Future work

Members

itsnamgyu

Ryan Koo

Minju Lee

hyojung chang

jonggeun park

Sanglae Kim

lee yoonhee

Ethan Cooper

Jake Han