Analyzing Brain Tumour Classification Techniques: A Comprehensive Survey

P Chauhan, M Lunagaria, DK Verma, K Vaghela… - IEEE …, 2024 - ieeexplore.ieee.org
Classification of brain tumour is critical in medical image analysis and diagnosis as it aids in
determining the affinity of cases to select treatment paths. This feature underscores the …

Brain tumor identification and classification using a novel extraction method based on adapted alexnet architecture

PMS Guru, GJ Praveen, R Dodmane… - 2023 6th …, 2023 - ieeexplore.ieee.org
Brain tumours are caused by the aberrant development of cells, which is what leads to their
formation. It is one of the primary factors contributing to death in adults all over the world …

Early detection of brain tumor and survival prediction using deep learning and an ensemble learning from radiomics images

P Jain, S Santhanalakshmi - 2022 IEEE 3rd Global Conference …, 2022 - ieeexplore.ieee.org
The brain is the most vital organ present in the human body & no doubt that if abnormal
growth of brain cells has been detected, it leads to the development of Brain Tumor (BT) …

A Survey on Brain Tumor Prediction with Various Machine Learning Approaches

P Saravanan, S Saravanakumar… - 2023 International …, 2023 - ieeexplore.ieee.org
Brain tumor prediction plays a crucial role in the accurate diagnosis and timely treatment of
this life-threatening medical condition. Traditional methods relying on manual analysis of …

Brain Tumor MRI Image Segmentation and Classification based on Deep Learning Techniques

A Arafat, D Mamtani, KR Jansi - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Detection and diagnosis of brain tumors is important for improving the possibility of
successful treatment and recovering. Magnetic resonance imaging (MRI) is widely used …

A Fast and Efficient Semi-Unsupervised Segmentation and Feature-Extraction Methodology for Artificial Intelligence and Radiomics Applications: A Preliminary Study …

G Espa, P Feraco, M Donelli, I Dal Chiele - Electronics, 2023 - mdpi.com
Brain tumors are pathologies characterized by a high degree of mortality. An early diagnosis
of these pathologies could reduce mortality and limit the adverse effects of brain surgery …

Enhanced Multimodal Brain Tumor Classification in MR Images using 2D ResNet as backbone with Explicit Tumor Size Information

Y Zeng, N Liu, X Yang, C Huang, M Liu - Journal of Cancer, 2024 - pmc.ncbi.nlm.nih.gov
It's a major public health problem of global concern that malignant gliomas tend to grow
rapidly and infiltrate surrounding tissues. Accurate grading of the tumor can determine the …

A convolutional neural network with the VGG-16 model for classifying human brain tumor

DD Vo, BV Ngo, TD Nguyen… - 2022 6th …, 2022 - ieeexplore.ieee.org
Brain cancer is one of the most dangerous diseases if it is not detected early. In recent years,
AI technology has been increasingly applied in many different fields, including the medical …

Neural Networks in Neuroimaging: A Critical Analysis of Deep Learning Techniques for Brain Tumor Prediction

S Muthuraj, RD Chintamani… - Journal of Electrical …, 2024 - search.proquest.com
With the escalating incidence of brain tumors, early and accurate detection holds paramount
importance for facilitating timely medical interventions and enhancing patient outcomes …

Study of Deep Learning-Based Segmentation and Classification of Brain Tumors in MRI Images

S Arora, GS Mishra, M Gupta - International Conference on Electrical and …, 2023 - Springer
Brain tumors are one of the most progressive diseases affecting both children and adults.
Brain tumors spread quickly and, if not treated properly, limit the patient's chances of …