Deep learning techniques for the classification of brain tumor: A comprehensive survey
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 …
Artificial intelligence in multiparametric magnetic resonance imaging: A review
Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …
A survey of brain tumor segmentation and classification algorithms
ES Biratu, F Schwenker, YM Ayano, TG Debelee - Journal of Imaging, 2021 - mdpi.com
A brain Magnetic resonance imaging (MRI) scan of a single individual consists of several
slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …
slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …
Classification of date fruits into genetic varieties using image analysis
A great number of fruits are grown around the world, each of which has various types. The
factors that determine the type of fruit are the external appearance features such as color …
factors that determine the type of fruit are the external appearance features such as color …
CNN-based bi-directional and directional long-short term memory network for determination of face mask
Context The COVID-19 virus, exactly like in numerous other diseases, can be contaminated
from person to person by inhalation. In order to prevent the spread of this virus, which led to …
from person to person by inhalation. In order to prevent the spread of this virus, which led to …
A novel deep dense block-based model for detecting Alzheimer's Disease
SB Çelebi, BG Emiroğlu - Applied Sciences, 2023 - mdpi.com
Alzheimer's disease (AD), the most common form of dementia and neurological disorder,
affects a significant number of elderly people worldwide. The main objective of this study …
affects a significant number of elderly people worldwide. The main objective of this study …
Antibiotic profile classification of Proteus mirabilis using machine learning: An investigation into multidimensional radiomics features
Antimicrobial resistance (AMR) presents a significant threat to global healthcare. Proteus
mirabilis causes catheter-associated urinary tract infections (CAUTIs) and exhibits increased …
mirabilis causes catheter-associated urinary tract infections (CAUTIs) and exhibits increased …
A fine-tuned vision transformer based enhanced multi-class brain tumor classification using MRI scan imagery
CKK Reddy, PA Reddy, H Janapati… - Frontiers in …, 2024 - pmc.ncbi.nlm.nih.gov
Brain tumors occur due to the expansion of abnormal cell tissues and can be malignant
(cancerous) or benign (not cancerous). Numerous factors such as the position, size, and …
(cancerous) or benign (not cancerous). Numerous factors such as the position, size, and …
[HTML][HTML] Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1 …
J Ding, R Zhao, Q Qiu, J Chen, J Duan… - Quantitative imaging in …, 2022 - ncbi.nlm.nih.gov
Background Although surgical pathology or biopsy are considered the gold standard for
glioma grading, these procedures have limitations. This study set out to evaluate and …
glioma grading, these procedures have limitations. This study set out to evaluate and …
ETISTP: An enhanced model for brain tumor identification and survival time prediction
Technology-assisted diagnosis is increasingly important in healthcare systems. Brain tumors
are a leading cause of death worldwide, and treatment plans rely heavily on accurate …
are a leading cause of death worldwide, and treatment plans rely heavily on accurate …