[HTML][HTML] Advancements in deep learning techniques for brain tumor segmentation: a survey

CM Umarani, SG Gollagi, S Allagi, K Sambrekar… - Informatics in Medicine …, 2024 - Elsevier
The escalating incidence of accurate detection of brain tumors within the discipline of neuro-
oncology underscores the pressing demand for enhanced diagnostic methodologies. The …

Advancements in brain tumor analysis: a comprehensive review of machine learning, hybrid deep learning, and transfer learning approaches for MRI-based …

S Das, RS Goswami - Multimedia Tools and Applications, 2024 - Springer
Brain tumors, whether cancerous or noncancerous, can be life-threatening due to abnormal
cell growth, potentially causing organ dysfunction and mortality in adults. Brain tumor …

Routing attacks detection in MANET using trust management enabled hybrid machine learning

G Arulselvan, A Rajaram - Wireless Networks, 2024 - Springer
The ever-changing topology in mobile ad hoc networks (MANETs) makes routing a
formidable obstacle. The infrastructure-independent capabilities of MANET ensure the …

SPBTGNS: Design of an Efficient Model for Survival Prediction in Brain Tumour Patients using Generative Adversarial Network with Neural Architectural Search …

R Zaitoon, SN Mohanty, D Godavarthi… - IEEE Access, 2024 - ieeexplore.ieee.org
The landscape of medical imaging, particularly in brain tumor analysis and survival
prediction, necessitates advancements due to the inherent complexities and life-threatening …

Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images

K Lakshmi, S Amaran, G Subbulakshmi, S Padmini… - Scientific Reports, 2025 - nature.com
Detecting brain tumours (BT) early improves treatment possibilities and increases patient
survival rates. Magnetic resonance imaging (MRI) scanning offers more comprehensive …

Accurate Detection of Brain Tumor Lesions from Medical Images based on Improved YOLOv8 Algorithm

Q Yao, D Zhuang, Y Feng, Y Wang, J Liu - IEEE Access, 2024 - ieeexplore.ieee.org
Deep learning-based image processing methods for medical brain tumors are current
research hotspots in this field. However, a great deal of research has focused on how to …

Classification of Brain Tumor Detection Techniques-A Review

M Selvi, K Gokul, D Dhivin - 2024 8th International Conference …, 2024 - ieeexplore.ieee.org
Tumors present in brain remains a significant global health issue, affecting millions annually
and presenting various diagnostic and therapeutic challenges. These tumors originate from …

[PDF][PDF] Integrated U-Net segmentation and gated recurrent unit classification for accurate brain tumor diagnosis from magnetic resonance imaging images

R Sajjanar, UD Dixit - … of Electrical and Computer Engineering (IJECE …, 2025 - academia.edu
Early diagnosis and proper grou** of tumors in the brain are critical for successful therapy
and positive outcomes for patients. This work proposes a complete technique for identifying …

Recent Trends in Brain Tumor Prediction Using Machine Learning and Deep Learning

G Hariyani, S Mantri - 2024 IEEE 16th International Conference …, 2024 - ieeexplore.ieee.org
A spontaneous growth of abnormal cells in brain tissues that increases the pressure inside
the skull is called a brain tumor. This tumor can be non-cancerous or cancerous based on …

Recent Trends in Brain Tumor Detection Using Deep Learning Based Diagnostic Models Assisted with Medical Imaging

S Batra, G Singh, GS Chakraborty… - 2024 International …, 2024 - ieeexplore.ieee.org
Detection of brain tumors is a crucial aspect of processing biomedical images. These tumors
are one of the prime reasons for death and disability, and effective treatment requires early …