Nanotechnology Driven Advanced Imaging and Classification of Brain Tumours

Authors Md A. Mondal, D. Mitra, A. Dhar, A. Saha , S. Das , P. Ghosh
Affiliations

1Narula Institute of Technology, MAKAUT, Kolkata, 700109 India

Е-mail paprighosh06@gmail.com
Issue Volume 17, Year 2025, Number 3
Dates Received 12 April 2025; revised manuscript received 23 June 2025; published online 27 June 2025
Citation Md A. Mondal, D. Mitra, A. Dhar, и др., J. Nano- Electron. Phys. 17 No 3, 03008 (2025)
DOI https://doi.org/10.21272/jnep.17(3).03008
PACS Number(s) 87.19.lf, 87.57.Va
Keywords Brain tumor detection, Nanotechnology (6) , Gold nanoparticles (2) , Iron oxide nanoparticles, VGG16, VGG19, MRI Classification.
Annotation Brain tumours are among the most serious medical disorders, and early and correct discovery is important for successful treatment. Conventional diagnostic methods including computed tomography (CT) and magnetic resonance imaging (MRI) sometimes depend on manual interpretation, which is time-consuming, prone to human error, and limited in spotting minute tumour features. To ad-dress this issue, this study employs nanotechnology to improve tumour detection accuracy. Gold and iron oxide nanoparticles were synthesised, functionalized with tumourspecific ligands, and employed as contrast agents in fluorescence and magnetic resonance imaging (MRI). These nanoparticles improve tumour visualization by enhancing the contrast between healthy and tumour tissues, allowing for accurate localization. To detect and categorize tumour areas with higher sensitivity and specificity, advanced image processing techniques were used to high-resolution imaging data provided by nanoparticle-enhanced modalities. This technology overcomes previous diagnostic tools' short-comings by automating tumour detection and eliminating the requirement for manual segmentation. This work demonstrates the synergistic potential of merging nanotechnology with cutting-edge imaging technologies to provide a non-invasive, precise, and efficient diagnostic tool for brain tumour identification.

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