Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{175643,
        author = {Shaikh Nabeel and Trapti Soni and Pankaj Jaiswal and Atharva Chavan and Aditya Tiwari},
        title = {Expanding the Possibilities of Cancer Patients by Predicting the Stages of Cancer},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {3443-3449},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175643},
        abstract = {The "Expanding the Possibilities of Cancer Patients by Predicting the Stages of Cancer" project develops a systematic three-part system to enhance cancer diagnosis and patient care delivery. Users and administrators can securely access the system through login during the Registration Phase while providing hospital details and organizational information. The management system allows administrators to effectively organize patient records through separate cancer groups including Lung Cancer, Oral Cancer and Breast Cancer as well as demographic data involving habits and family history. During the Processing Phase medical institutions create imaging data through advanced methods including MRI alongside other scanning technologies that need special hardware to display images. The system developers created an application-specific interface which improves image examination by allowing detailed high-resolution views for clinical diagnosis. From these images the system generates a cancer stage prediction that identifies either Stage 1 through 3. The Report Generation Phase produces an extensive document that presents patient information together with diagnosis stage and hospital data as well as survival rate projections through simple visual charts.},
        keywords = {Artificial Intelligence, Machine Learning, Cancer Patient Journey, Image Classification, CNN.},
        month = {April},
        }