Brain tumour segmentation and classification with reconstructed MRI using DCGAN

B Sandhiya, SKS Raja, K Shruthi… - … Signal Processing and …, 2024 - Elsevier
The median lifespan of brain malignance diagnosed patients is poor, which indicates that
just two out of ten persons identified with brain malignance will live lasting a minimum of a …

Artificial intelligence-based brain tumor segmentation using adaptive hybrid cnn and classification by multi-scale dilated mobilenet with attention mechanism for mri …

K Subhashini, J Thangakumar - International Journal of Image and …, 2024 - World Scientific
In the medical field, the demanding task is predicting the type of cancer cell, and the analysis
to reduce the death rate. MRI technique is used for capturing the brain image because of its …

Classification and Segmentation of MRI Images of Brain Tumors Using Deep Learning and Hybrid Approach

S Singh, V Saxena - International journal of electrical and computer …, 2024 - hrcak.srce.hr
Sažetak Manual prediction of brain tumors is a time-consuming and subjective task, reliant
on radiologists' expertise, leading to potential inaccuracies. In response, this study proposes …

A Lightweight Attention based MobileNetv2 Model for Brain Tumor Segmentation and Severity of Tumor Classification using Support Vector Machine

D Pavithra, R Nidhya, C Vinothini, M Murugaiyan - 2023 - researchsquare.com
Brain tumors are lumps of aberrant tissue that can develop into cancer and have a
significant negative influence on a person's health. MRI scans of the brain can reveal them …

Brain Tumor Segmentation and Classification Using Deep Learning

PSS Vaishnav, B Singh - International Conference on Multi-Strategy …, 2024 - Springer
Early identification is essential for the effective treatment of brain tumors, which pose a
serious health risk. In this study, a novel neural network technique for brain tumor …

STUDY OF BRAIN TUMOR PREDICTION BY USING MACHINE LEARNING

V Ummaneni - 2024 - scholarworks.lib.csusb.edu
Technological advancements in deep learning and machine learning have greatly improved
the diagnosis and analysis of medical images. This culminating experience project utilized …