[HTML][HTML] Advancements in deep learning techniques for brain tumor segmentation: a survey
The escalating incidence of accurate detection of brain tumors within the discipline of neuro-
oncology underscores the pressing demand for enhanced diagnostic methodologies. The …
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 …
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 …
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 …
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 …
The landscape of medical imaging, particularly in brain tumor analysis and survival
prediction, necessitates advancements due to the inherent complexities and life-threatening …
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
Detecting brain tumours (BT) early improves treatment possibilities and increases patient
survival rates. Magnetic resonance imaging (MRI) scanning offers more comprehensive …
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 …
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 …
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 …
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 …
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 …
are one of the prime reasons for death and disability, and effective treatment requires early …