Abhishek-st/Skin-Lesion-Analysis

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

1. Clone this repository with Git git clone https://github.com/Abhishek-st/Skin-Lesion-Analysis.git
2. Open project's directory
3. place the model.h5 file inside the model folder(download from link below)`
4. Install all necessary dependencies pip install -r requirements.txt
5. Run application python application.py
6. Open http://127.0.0.1:5000/ on your browser
7. Click the file select button and select test image for classifier.

Research Paper

Dataset

The dataset was created from images collected from ISIC

model.h5

model.h5

model.js that can be directly linked with webapp

model.js

model.tflite that can be directly linked with android or ios

model.tflite

This project is a part of a research and is a result of team work
Team Members

• Abhishek Sunil Tiwari
• Saswat Panda
• Manas Ranjan Prusty

Citation

If you find our work useful please cite our paper.

Saswat Panda, Abhishek Sunil Tiwari, Manas Ranjan Prusty (2021); Comparative study on different Deep Learning models <br>for Skin Lesion Classification using transfer learning approach; International Journal of Scientific and Research Publications <br>(IJSRP) 11(1) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.11.01.2021.p10923