Brain tumor segmentation and classification on MRI via deep hybrid representation learning
N Farajzadeh, N Sadeghzadeh… - Expert Systems with …, 2023 - Elsevier
Detecting brain tumors plays an important role in patients' lives as it can help specialists
save them or let them succumb to a terminal illness otherwise. Magnetic Resonance …
save them or let them succumb to a terminal illness otherwise. Magnetic Resonance …
Efficient simultaneous segmentation and classification of brain tumors from MRI scans using deep learning
Brain tumors can be difficult to diagnose, as they may have similar radiographic
characteristics, and a thorough examination may take a considerable amount of time. To …
characteristics, and a thorough examination may take a considerable amount of time. To …
Deep learning techniques for the classification of brain tumor: A comprehensive survey
A Younis, L Qiang, M Khalid, B Clemence… - IEEE …, 2023 - ieeexplore.ieee.org
Researchers have given immense consideration to unsupervised approaches because of
their tendency for automatic feature generation and excellent performance with a reduced …
their tendency for automatic feature generation and excellent performance with a reduced …
Classification framework for medical diagnosis of brain tumor with an effective hybrid transfer learning model
Brain tumors (BTs) are deadly diseases that can strike people of every age, all over the
world. Every year, thousands of people die of brain tumors. Brain-related diagnoses require …
world. Every year, thousands of people die of brain tumors. Brain-related diagnoses require …
An MRI-based deep learning approach for efficient classification of brain tumors
EU Haq, H Jianjun, K Li, HU Haq, T Zhang - Journal of Ambient …, 2023 - Springer
Efficient and reliable identification and classification of brain tumors from imaging data is
essential in the diagnosis and treatment of brain cancer cells. Magnetic resonance imaging …
essential in the diagnosis and treatment of brain cancer cells. Magnetic resonance imaging …
A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions
S Krishnapriya, Y Karuna - Health and Technology, 2023 - Springer
Abstract Purpose Structural Magnetic Resonance Imaging (MRI) of the brain is an effective
way to study its internal structure. Identifying and classifying brain malignancies is a difficult …
way to study its internal structure. Identifying and classifying brain malignancies is a difficult …
A review on deep learning architecture and methods for MRI brain tumour segmentation
M Angulakshmi, M Deepa - Current Medical Imaging, 2021 - ingentaconnect.com
Background: The automatic segmentation of brain tumour from MRI medical images is
mainly covered in this review. Recently, state-of-the-art performance is provided by deep …
mainly covered in this review. Recently, state-of-the-art performance is provided by deep …
Review of MRI-based brain tumor image segmentation using deep learning methods
Brain tumor segmentation is an important task in medical image processing. Early diagnosis
of brain tumors plays an important role in improving treatment possibilities and increases the …
of brain tumors plays an important role in improving treatment possibilities and increases the …
A comprehensive review on brain tumor segmentation and classification of MRI images
CS Rao, K Karunakara - Multimedia Tools and Applications, 2021 - Springer
In the analysis of medical images, one of the challenging tasks is the recognition of brain
tumours via medical resonance images (MRIs). The diagnosis process is still tedious due to …
tumours via medical resonance images (MRIs). The diagnosis process is still tedious due to …
Brain tumor segmentation and classification from magnetic resonance images: Review of selected methods from 2014 to 2019
The past few years have witnessed a significant increase in medical cases related to brain
tumors, making it the 10th most common form of tumor affecting children and adults alike …
tumors, making it the 10th most common form of tumor affecting children and adults alike …