Nanotechnology-Integrated Imaging Framework for Brain Tumor Classification
| Authors | Debrupa Pal1, Debopriya Dey1, Puja Supakar1, Srinjoy Saha1, Prodipto Dhali2, Shubhankar Karmakar2, Pintu Pal3, Tanvir Habib Sardar4 |
| Affiliations |
1Narula Institute of Technology, 700109 Kolkata, India 2JIS College of Engineering, 741235 Nadia, India 3Techno College Hooghly, 712101 Hooghly, India 4Dayananda Sagar University, 562112 Bangalore, India |
| Е-mail | dppalit@gmail.com |
| Issue | Volume 18, Year 2026, Number 5 |
| Dates | Received 02 June 2026; revised manuscript received 18 October 2026; published online 28 October 2026 |
| Citation | Debrupa Pal, Debopriya Dey, et al., J. Nano- Electron. Phys. 18 No 5, 05028 (2026) |
| DOI | https://doi.org/10.21272/jnep.18(5).05028 |
| PACS Number(s) | 87.19.lf, 87.57.Va |
| Keywords | Tomographic X-ray, Fluorescence imaging, Magnetic Resonance Imaging (MRI), Brain tumor. |
| Annotation |
Brain tumors represent one of the most urgent medical cases, where timely and correct diagnosis is essential for effective treatment. Manual classification of traditional imaging methods, e.g. CT and MRI, are labor-intensive, prone to error and associated with low capability of detecting delicate tumor characteristics. In response to these weaknesses, this study seeks to integrate nanotechnology to enhance the detection accuracy of the tumors. Both fluorescence and MRI imaging using tumor specific ligands involved the functionalized nanoparticles of gold and iron oxide as contrast agents. These nanoparticles have a strongly visible and contrasting effect on tumors and improve the visibility and delineation of tumors in which contrast is increased between malignant and normal tissues, which facilitates the precise localization. Advanced image processing methods were applied to nanoparticle-enhanced high-resolution images to automatically detect and classify tumor regions with improved sensitivity and specificity. This approach eliminates manual segmentation and demonstrates the potential of combining nanotechnology with advanced imaging for non-invasive and accurate brain tumor diagnosis. |
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