Design, Development and Deployment of Deep Learning (Ensemble) Model for Lung Cancer Detection: A Retrospective Study

Funded Research Project

Under

Indian Council of Medical Research

Department of Health Research and Family Welfare, Government of India

(Sanctioned Under IIRP Scheme 2023-2024 vide Grant No: EM/SG/Dev. Res/120/0847-2023)

Principal Investigator:Dr. Subrata Sinha

(Professor, Department of Computational Sciences & Member,
Center for Multidisciplinary Research and Innovation, Brainware University)

PulmoNet

AI-Powered Diagnosis

Advanced AI-PoweredLung Cancer Detection

PulmoNet uses Deep Learning based classification models to analyze Whole Slide Image (WSI) patches and Microscopic Images for precise lung cancer classification.

Start Analysis

About Our Project

The objective of the project is to develop an advanced deep learning (DL)-based classification framework for the accurate classification of lung cancer using histopathological Whole Slide Image (WSI) patches and microscopic images.

Lung Cancer CAD Research Initiative

We're developing multiple Vision based DL models for histopathology Image analysis.

Multi-Model Architecture

We're developing multiple Vision based DL models for histopathology Image analysis.

ICMR Collaboration

Funded and supported by the Indian Council of Medical Research, ensuring clinical validity and real-world application.

Expert Team

Leading oncologists, pathologists, and AI researchers from top institutions are collaborating on this transformative project.

Project Timeline

Research Methodology

Data Collection

Curating multiple datasets consisting of patches from Annotated Whole Slide Images and microscopic images from medical institutions.

Model Development

Advanced CNN architectures with transfer learning, attention mechanisms, and ensemble methods for superior accuracy.

Clinical Validation

Rigorous testing with pathologists and oncologists across multiple hospitals to ensure clinical applicability.

Our Vision

Dr. Subrata Sinha

Principal Investigator

Professor, Department of Computational Sciences

Brainware University

Our mission is to revolutionize lung cancer detection through cutting-edge artificial intelligence. By developing advanced deep learning models, we aim to enable earlier diagnosis, improve treatment outcomes, and ultimately save lives.

This ICMR-funded research project represents a significant step toward making world-class diagnostic tools accessible to healthcare providers across India. We envision a future where AI-powered medical imaging becomes an integral part of routine cancer screening, helping doctors make faster and more accurate diagnoses.

Through collaboration with leading oncologists, pathologists, and medical institutions, we are building a system that combines the precision of artificial intelligence with the expertise of human clinicians, setting new standards in healthcare innovation.

Get in Touch

Ready to integrate PulmoNet into your medical practice? Contact our team for demonstrations, partnerships, or research collaborations.

Contact Information

Email

subratasinha2020@gmail.com

Location

Brainware University
Barasat, West Bengal

Send us a Message

We'll get back to you within 24 hours