An effective and novel approach for brain tumor classification using AlexNet CNN feature extractor and multiple eminent machine learning classifiers in MRIs
A brain tumor is an uncontrolled malignant cell growth in the brain, which is denoted as one
of the deadliest types of cancer in people of all ages. Early detection of brain tumors is …
of the deadliest types of cancer in people of all ages. Early detection of brain tumors is …
Design and assessment of improved Convolutional Neural Network based brain tumor segmentation and classification system
Deep learning techniques have recently demonstrated promising outcomes in the
segmentation of brain tumors from MRI images. Due to its capability to handle high …
segmentation of brain tumors from MRI images. Due to its capability to handle high …
[PDF][PDF] Detection and segmentation of meningioma brain tumors in MRI brain images using Curvelet transform and ANFIS
R Anitha, K Sundaramoorthy, S Selvi… - International Journal of …, 2023 - academia.edu
░ ABSTRACT-The detection of abnormal tumor region brain Magnetic Resonance Images
(MRI) is complex task due to its similar structures between tumor and its surrounding …
(MRI) is complex task due to its similar structures between tumor and its surrounding …
[PDF][PDF] Image forgery detection using integrated convolution-LSTM (2D) and convolution (2D)
░ ABSTRACT-Digital forensics and computer vision must explore image forgery detection
and their related technologies. Image fraud detection is expanding as sophisticated image …
and their related technologies. Image fraud detection is expanding as sophisticated image …
[PDF][PDF] An Improved Method for Skin Cancer Prediction Using Machine Learning Techniques
B Gupta, CK Jain, RL Srivastava… - … Journal of Electrical …, 2022 - ijeer.forexjournal.co.in
░ ABSTRACT-Among skin diseases the type that causes cancer are the fatal ones and pose
the biggest issues. These issues arise since cancers are just much larger quantities of the …
the biggest issues. These issues arise since cancers are just much larger quantities of the …
[PDF][PDF] Naive bayesian classification based glioma brain tumor segmentation using grey level co-occurrence matrix method
R Anitha, K Sundaramoorthy, D Suseela… - International Journal on …, 2023 - core.ac.uk
Brain tumors vary widely in size and form, making detection and diagnosis difficult. This
study's main aim is to identify abnormal brain images., classify them from normal brain …
study's main aim is to identify abnormal brain images., classify them from normal brain …
[PDF][PDF] Research Article An Effective and Novel Approach for Brain Tumor Classification Using AlexNet CNN Feature Extractor and Multiple Eminent Machine Learning …
A Sarkar, M Maniruzzaman, MA Alahe, M Ahmad - 2023 - academia.edu
A brain tumor is an uncontrolled malignant cell growth in the brain, which is denoted as one
of the deadliest types of cancer in people of all ages. Early detection of brain tumors is …
of the deadliest types of cancer in people of all ages. Early detection of brain tumors is …
Enhancing Brain Tumor Detection: A Comparative Study of Machine Learning Models
Modern methods for the early diagnosis and categorization of brain tumors have been
developed as a result of the dogged quest for novel approaches in medical imaging and …
developed as a result of the dogged quest for novel approaches in medical imaging and …
Classification Of Brain Tumor Using Generative Adversarial Network With RES NET Discriminator
M Umamaheswari, J Sivadasan… - … on Advances in …, 2024 - ieeexplore.ieee.org
The classification of brain tumors using deep learning techniques has emerged as a pivotal
area of medical research and diagnostics. In this study, we present an innovative approach …
area of medical research and diagnostics. In this study, we present an innovative approach …
[PDF][PDF] An Optimized Transfer Learning Based Framework for Brain Tumor Classification
░ ABSTRACT-Brain Tumor (BT) categorization is an indispensable task for evaluating
Tumors and making an appropriate treatment. Magnetic Resonance Imaging (MRI) modality …
Tumors and making an appropriate treatment. Magnetic Resonance Imaging (MRI) modality …