Lung cancer nodule detection using CT scan images

Project Title

Lung cancer nodule detection using CT scan images

Project Area of Specialization Electrical/Electronic EngineeringProject Summary

lung cancer is the leading cause of death among all the other cancer types. The detection and classification of pulmonary nodules is an open challenge. Hence we need to develop a new CAD system based on powerful feature map visualization techniques.

Project Objectives

The objective is to develop a CNN-Based CAD system for nodule detection that increase sensitivity and maintain a low number of false positives in order to overcome the challenge of using automated system in daily medical practice.

Project Implementation Method

A deep learning-based CAD system consists of five main stages:

1.Data Collection

2.Data Pre-processing

3.Image Segmentation

4.Candidate Nodules Detection

5.Benign-Malignant Classification

Benefits of the Project

1.It will provide new and more robust technique for nodule detection that increase sensitivity and maintain a low number of false positives in order to overcome the challenge of using automated system in daily medical practice.

CAD system will be based on powerful feature map visualization techniques to better analyze CNN’s decision and transfer it to radiologists.

Technical Details of Final Deliverable

1.CNN-Based CAD system has the capability to greatly improve the global detection rate of lung nodules whenever an output is reported as wrong using iterative self-learning technique.

CNN-Based Computer-Aided Detection (CADe) system can extract valuable and relevant information on nodules, and can assist radiologists to establish the correct diagnosis.

Final Deliverable of the Project Software SystemCore Industry MedicalOther IndustriesCore Technology OthersOther TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	30000
Laptop	Equipment	1	30000	30000