Skin Cancer Detection Using Image Processing

Skin cancer is seen as one of the most Hazardous forms of Cancer found in Humans. Skin cancer is found in various types such as Melanoma, Basal, and Squamous cell Carcinoma among which Melanoma is the most unpredictable. The detection of Melanoma cancer in the early stage can be helpful to cure it.

Project Title

Skin Cancer Detection Using Image Processing

Project Area of Specialization

Artificial Intelligence

Project Summary

Skin cancer is seen as one of the most Hazardous forms of Cancer found in Humans. Skin cancer is found in various types such as Melanoma, Basal, and Squamous cell Carcinoma among which Melanoma is the most unpredictable. The detection of Melanoma cancer in the early stage can be helpful to cure it.

Computer vision can play important role in Medical Image Diagnosis and it has been proved by many existing systems. So we decided to create a Mobile Application that can detect skin cancer.

Skin cancer detection using image processing is a mobile application, which works with a python framework to detect cancer in skins. The main motive is to instantly get information about their disease.

Project Objectives

Objective 1: To detect cancer in the skin

Objective 2: To suggest to the cancer patient a precautionary measure

Objective 3: To suggest medication and diet plans for cancer patient

Project Implementation Method

Step 1:
Gathering Software & Specification requirements. Building our application UI (interface).

Step 2: 
We will create our ML Model for Image processing with the help of TensorFlow & Keras (used to build for model creation in ML) and with the help of “TFLite” we deploy the model to our application.

Step 3: 
We start the development phase here and attached the AI part (model) with the app. We also develop another section on applications for suggestions and diet/medication, for cancer-patient regarding precautionary measures.

Step 4: 
Final Phase for Final testing and Implementation. Publish the app on AppStore.

Benefits of the Project

• Help people detect skin cancer at home by just using their mobile phone camera before any big issue. And also provide a diet plan according to the level of cancer and Also the suggestion for cancer patients regarding the precautionary measures.
• An app that detects cancer in skins. It is reliable and free of cost, just need to install it from Appstore from anywhere.
• Did not get any real-world space, nor big in size. Use from anywhere.

Technical Details of Final Deliverable

This is a mobile application for the iOS platform to help people detect their skin cancer at home. We use AI image processing with the help of TensorFlow & Keras to create a model for detecting cancer on the skin and join that model with the application with the help of TFLite.

Also provides Diet, Medication, and precautionary measures in other sections (sidebar will provide the option to jump to another page) on the mobile application.

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Medical , Health

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com