Early Detection of Brain Tumor and Cancer Using Resnet

DOI

10.2991/978-94-6463-858-5_248How to use a DOI?

Keywords

Deep Learning; ResNet-101; Brain Tumor; Convolutional Neural Networks(CNNs); Image Classification; Feature Extraction; Automated Diagnosis; Transfer Learning; Deep Residual Learning

Abstract

This literature review emphasizes the importance of early brain tumor detection for improving treatment outcomes and survival rates. It critiques traditional diagnostic methods, such as MRI interpretation by radiologists, which can be slow and prone to errors. The review highlights advancements in artificial intelligence (AI) and deep learning, particularly focusing on automated detection methods that enhance accuracy and efficiency. Convolutional neural networks (CNNs), transfer learning, and hybrid approaches are some of the most important techniques that are talked about. Deep learning architectures like ResNet and VGG are also looked at. The review also addresses challenges such as dataset variability, model interpretability, and real-world implementation. It underscores the transformative potential of AI in brain tumor diagnosis while calling for improvements in data quality, algorithm transparency, and clinical validation. Future research should focus on integrating AI diagnostics into practical medical applications for reliable early detection of brain tumors.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Prathi Naveena
AU  - Pukkala Saikiran
AU  - Koppana Mani Raja
AU  - Chennubhotla S. N. Pawan Raghavendra
AU  - Jammu Surya Teja
PY  - 2025
DA  - 2025/11/04
TI  - Early Detection of Brain Tumor and Cancer Using Resnet
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2959
EP  - 2970
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_248
DO  - 10.2991/978-94-6463-858-5_248
ID  - Naveena2025
ER  -