Thesis Title

A Computer Aided Diagnosis System for Detecting Lung Nodules in CT Images for Early Detection of Lung Cancer and Development of Content Based Image Retrieval System.

Thesis Abstract

Given CT scans of an individual, the Computer Aided Diagnosis system developed would detect and classify the nodules (if present) as benign or malignant. The Processing steps of the CAD include image acquisition, lung parenchyma segmentation, lung nodule segmentation, false positive reduction and hence classification. Rule based region growing algorithm, autoencoder artificial neural networks and distance measures were extensively used in the said research work. The HRCT scans were collected from widely used LIDC IDRI open source database.

The research work was published and presented in International conferences and indexed Journals.

The thesis resulted from the research work was awarded as Best PhD Thesis Award in 2019 by BITES.

Research Interests

Research Publication Abstract

Research Supervisor
Approved Research Supervisor for Ph D Program in Visvesvaraya Technological University - Belagavi

Domain- Lung Cancer Detection and Identification of Cancer stages

Domain- Image Analysis of Brain CT

Page updated

Google Sites

Report abuse