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Streamlit Based Lung Cancer Detection using Deep Learning Modules

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Volume-10 | Issue-3

Last date : 26-Jun-2026

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Streamlit Based Lung Cancer Detection using Deep Learning Modules


Sudhanshu Suratkar



Sudhanshu Suratkar "Streamlit Based Lung Cancer Detection using Deep Learning Modules" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025, pp.1682-1687, URL: https://www.ijtsrd.com/papers/ijtsrd81112.pdf

Lung cancer remains one of the leading causes of mortality worldwide, reaffirming the need for early detection to shore up its survival rates. This study presents a Streamlit-based application that exploits deep learning models for fully automated portable lung cancer detection. The system digests medical imaging data with advanced Convolutional Neural Networks (CNNs), ResNet, and InceptionV3, trained on lung cancer datasets available in the public domain. Image processing methods, namely normalization, augmentation, and segmentation, are utilized to boost model performance. The proposed application engraves real-time inference, displays and options to export diagnostic results in an interactive interface. The models are evaluated based on accuracy, sensitivity, specificity, and F1-score, aiming to provide them with guaranteed reliability. By merging AI-driven diagnostics with a user-friendly web platform, this solution improves access for healthcare professionals and researchers. Future work will comprise types of additional cancer detection, cloud-based scalability, and improved model precision using heterogeneous datasets concerning AI-powered medical diagnoses.

Convolutional Neural Networks, AI-driven diagnostics, AI-powered medical diagnoses


IJTSRD81112
Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025
1682-1687
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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