An ensemble model for the diagnosis of brain tumors through MRIs
Automatic brain tumor detection in MR Images is one of the basic applications of machine
vision in medical image processing, which, despite much research, still needs further …
vision in medical image processing, which, despite much research, still needs further …
Ensemble coupled convolution network for three-class brain tumor grade classification
BV Isunuri, J Kakarla - Multimedia Tools and Applications, 2024 - Springer
The brain tumor grade classification is one of the prevalent tasks in brain tumor image
classification. The existing models have employed transfer learning and are unable to …
classification. The existing models have employed transfer learning and are unable to …
A new ensemble method for brain tumor segmentation
Brain tumor localization and segmentation from magnetic resonance imaging (MRI) are
crucial and challenging tasks for several applications in the field of medical analysis. Tumor …
crucial and challenging tasks for several applications in the field of medical analysis. Tumor …
AI-Based Segmentation Model to Detect Brain Tumor
V Khairnar, P Kashid, K Patil, H Desai, P Kore… - … on Advances in …, 2024 - Springer
The incidence of brain tumors makes up 2% of cancers in India and ranges from 5 to 10 per
100,000 people, with an increasing tendency. Tumors are enlarged masses in specific body …
100,000 people, with an increasing tendency. Tumors are enlarged masses in specific body …
Survey of Brain Tumour Detection and Prediction Using Machine Learning, Deep Learning and Metaheuristic Techniques
The intricate anatomy of the brain makes it difficult for researchers to identify and predict
brain Tumours in their early stages. Manually analyzing many Magnetic Resonance Imaging …
brain Tumours in their early stages. Manually analyzing many Magnetic Resonance Imaging …
Revolutionizing Brain Disease Diagnosis: The Convergence of AI, Genetic Screening, and Neuroimaging
L Wang, S Li, X Jin - Proceedings of the 2024 International Conference …, 2024 - dl.acm.org
The integration of artificial intelligence (AI), genetic screening, and neuroimaging heralds a
revolutionary advance in the diagnosis and understanding of brain diseases. This review …
revolutionary advance in the diagnosis and understanding of brain diseases. This review …
Optimized brain tumor analysis in FLAIR-MRI LGG images: leveraging transfer learning and optimization for enhanced diagnosis and localization
This research endeavour conducts a comprehensive exploration of an efficient approach for
categorizing and delineating brain tumors in fluid-attenuated inversion recovery magnetic …
categorizing and delineating brain tumors in fluid-attenuated inversion recovery magnetic …
Evolutionary U-Net for lung cancer segmentation on medical images
FF Sahapudeen… - Journal of Intelligent & …, 2024 - content.iospress.com
Patients with lung cancer can only be diagnosed and treated surgically. Early detection of
lung cancer through medical imaging could save numerous lives. Adding advanced …
lung cancer through medical imaging could save numerous lives. Adding advanced …
Adaptive Loss and Deep Convolutional Neural Networks: A Blending Approach to Self-adaptive Deep Learning Models for Brain Tumor Classification
S Arora, GS Mishra - … Conference on Advanced Computing and Intelligent …, 2023 - Springer
The primary goal of this research was to lay the groundwork for improvements to self-
adaptive deep learning models such as ResNet152, DenseNet169, and InceptionResNetV2 …
adaptive deep learning models such as ResNet152, DenseNet169, and InceptionResNetV2 …
A Comparative Study on Brain Intracerebral Hemorrhage Classification Using Head CT Scan for Stroke Analysis
R Anusha Bai, V Sangeetha - … Conference on Soft Computing for Security …, 2023 - Springer
Intracerebral hemorrhage (ICH) is a life-threatening disease that requires emergency
medical attention, which is routinely diagnosed using non-contrast head CT imaging. ICH is …
medical attention, which is routinely diagnosed using non-contrast head CT imaging. ICH is …