Automated brain tumor detection in MRI images using CNN and ResNet architectures

Electrical Engineering and Systems Science > Image and Video Processing [Submitted on 25 Jun 2026] Automated brain tumor detection in MRI images using CNN and ResNet architectures Annapurna V K, Asha N, K Paramesha, Shabana Sultana, Kirankumar Humse Deep learning has shown significant potential in medical image analysis, particularly for disease detection using MRI scans. Accurate and early diagnosis of brain tumors remains challenging due to the complexity of brain structures and reliance on manual interpretation. This work presents an automated deep learning-based approach for brain tumor detection from MRI images using Convolutional Neural Networks and Residual Networks. Transfer learning is applied with two pretrained architectures, ResNet18 and ResNet50, to classify MRI scans into tumor and non-tumor categories. Experiments are conducted on a dataset of 3,929 brain MRI images, evaluating the impact of model depth and fine-tuning strategies. The results show that ResNet18 achieves a higher accuracy of 97% compared to 96% for ResNet50, demonstrating better generalization on limited medical data. The proposed framework enables fast, accurate, and cost-effective brain tumor detection, supporting early diagnosis and clinical decision-making. Subjects: Image and Video Processing (eess.IV); Artificial Intelligence (cs.AI) Cite as: arXiv:2606.27405 [eess.IV]   (or arXiv:2606.27405v1 [eess.IV] for this version)   https://doi.org/10.48550/arXiv.2606.27405 Focus to learn more Submission history From: K Paramesha Dr. [view email] [v1] Thu, 25 Jun 2026 04:41:19 UTC (938 KB) Access Paper: view license Current browse context: eess.IV < prev   |   next > new | recent | 2026-06 Change to browse by: cs cs.AI eess References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)