Machine and deep learning approaches for alzheimer disease detection using magnetic resonance images: An updated review
The most frequent chronic illness affecting the elderly and one with a high incidence rate is
Alzheimer's disease (AD). Deep Learning (DL) and Machine Learning (ML) techniques has …
Alzheimer's disease (AD). Deep Learning (DL) and Machine Learning (ML) techniques has …
A systematic study of artificial intelligence-based methods for detecting brain tumors
The brain is regarded as one of the most effective body-controlling organs. The development
of technology has enabled the early and accurate detection of brain tumors, which makes a …
of technology has enabled the early and accurate detection of brain tumors, which makes a …
On disharmony in batch normalization and dropout methods for early categorization of Alzheimer's disease
Alzheimer's disease (AD) is a global health issue that predominantly affects older people. It
affects one's daily activities by modifying neural networks in the brain. AD is categorized by …
affects one's daily activities by modifying neural networks in the brain. AD is categorized by …
Performance investigation for medical image evaluation and diagnosis using machine-learning and deep-learning techniques
Today, medical image-based diagnosis has advanced significantly in the world. The number
of studies being conducted in this field is enormous, and they are producing findings with a …
of studies being conducted in this field is enormous, and they are producing findings with a …
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 …
Review, Limitations, and future prospects of neural network approaches for brain tumor classification
S Das, RS Goswami - Multimedia Tools and Applications, 2024 - Springer
Brain tumor classification (BTC) using magnetic resonance imaging (MRI) are very important
for the early detection of brain tumors (BTs). It makes a substantial contribution to improving …
for the early detection of brain tumors (BTs). It makes a substantial contribution to improving …
Critical analysis of the current medical image-based processing techniques for automatic disease evaluation: systematic literature review
Medical image processing and analysis techniques play a significant role in diagnosing
diseases. Thus, during the last decade, several noteworthy improvements in medical …
diseases. Thus, during the last decade, several noteworthy improvements in medical …
Detection of brain tumors from MR images using fuzzy thresholding and texture feature descriptor
Efficient detection and classification of brain tumors using magnetic resonance images
provide significant support to the neurologists. However, many approaches developed for …
provide significant support to the neurologists. However, many approaches developed for …
An enhanced machine learning approach for brain MRI classification
Magnetic Resonance Imaging (MRI) is a noninvasive technique used in medical imaging to
diagnose a variety of disorders. The majority of previous systems performed well on MRI …
diagnose a variety of disorders. The majority of previous systems performed well on MRI …
Brain tumor segmentation and classification: A one-decade review
SF Yaseen, AS Al-Araji… - International Journal of …, 2022 - ijnaa.semnan.ac.ir
Image segmentation is a common technique in digital image processing and analysis that
partitions an image into several regions or zones, frequently based on the pixels' attributes …
partitions an image into several regions or zones, frequently based on the pixels' attributes …