Transfer‐learning‐based classification of pathological brain magnetic resonance images
S Savaş, Ç Damar - ETRI Journal, 2024 - Wiley Online Library
Different diseases occur in the brain. For instance, hereditary and progressive diseases
affect and degenerate the white matter. Although addressing, diagnosing, and treating …
affect and degenerate the white matter. Although addressing, diagnosing, and treating …
Automated brain disease classification using transfer learning based deep learning models
F Alam, FC Tisha, SA Rahman… - International …, 2022 - search.proquest.com
Abstract Brain MRI (Magnetic Resonance Imaging) classification is one of the most
significant areas of medical imaging. Among different types of procedures, MRI is the most …
significant areas of medical imaging. Among different types of procedures, MRI is the most …
Application of deep transfer learning for automated brain abnormality classification using MR images
Magnetic resonance imaging (MRI) is the most common imaging technique used to detect
abnormal brain tumors. Traditionally, MRI images are analyzed manually by radiologists to …
abnormal brain tumors. Traditionally, MRI images are analyzed manually by radiologists to …
[PDF][PDF] Performance comparison of different pre-trained deep learning models in classifying brain MRI images
O Sevli - Acta Infologica, 2021 - researchgate.net
ABSTRACT A brain tumor is a collection of abnormal cells formed as a result of uncontrolled
cell division. If tumors are not diagnosed in a timely and accurate manner, they can cause …
cell division. If tumors are not diagnosed in a timely and accurate manner, they can cause …
Convolutional neural networks for multi-class brain disease detection using MRI images
The brain disorders may cause loss of some critical functions such as thinking, speech, and
movement. So, the early detection of brain diseases may help to get the timely best …
movement. So, the early detection of brain diseases may help to get the timely best …
Pre-trained deep learning models for brain MRI image classification
S Krishnapriya, Y Karuna - Frontiers in Human Neuroscience, 2023 - frontiersin.org
Brain tumors are serious conditions caused by uncontrolled and abnormal cell division.
Tumors can have devastating implications if not accurately and promptly detected. Magnetic …
Tumors can have devastating implications if not accurately and promptly detected. Magnetic …
A transfer learning-based brain tumor classification using magnetic resonance images
The brain is one of the most important and complex organs responsible for controlling the
functions of the human body. Brain tumors are among the most lethal malignancies in the …
functions of the human body. Brain tumors are among the most lethal malignancies in the …
Deep transfer learning models for brain tumor classification using magnetic resonance images
A Pandey, VK Pandey - 2023 IEEE 12th International …, 2023 - ieeexplore.ieee.org
The development of brain tumor cells causes the intracranial pressure inside the skull to
rise, which ultimately threatens the minuscular life cycle. So, medication is the only way to …
rise, which ultimately threatens the minuscular life cycle. So, medication is the only way to …
A deep transfer learning approach for automated detection of brain tumor through magnetic resonance imaging
Nowadays, brain tumor is a fatal disease among humans. Early brain tumor detection is a
significant challenge in the medical field to save a patient's life. This paper aims to present a …
significant challenge in the medical field to save a patient's life. This paper aims to present a …
Efficient framework for brain tumor detection using different deep learning techniques
The brain tumor is an urgent malignancy caused by unregulated cell division. Tumors are
classified using a biopsy, which is normally performed after the final brain surgery. Deep …
classified using a biopsy, which is normally performed after the final brain surgery. Deep …