Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives
A brain tumor is an abnormal mass of tissue located inside the skull. In addition to putting
pressure on the healthy parts of the brain, it can lead to significant health problems …
pressure on the healthy parts of the brain, it can lead to significant health problems …
[HTML][HTML] The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review
In domains such as medical and healthcare, the interpretability and explainability of
machine learning and artificial intelligence systems are crucial for building trust in their …
machine learning and artificial intelligence systems are crucial for building trust in their …
[HTML][HTML] Classifying brain tumors on magnetic resonance imaging by using convolutional neural networks
MA Gómez-Guzmán, L Jiménez-Beristaín… - Electronics, 2023 - mdpi.com
The study of neuroimaging is a very important tool in the diagnosis of central nervous system
tumors. This paper presents the evaluation of seven deep convolutional neural network …
tumors. This paper presents the evaluation of seven deep convolutional neural network …
[HTML][HTML] Brain tumor classification using meta-heuristic optimized convolutional neural networks
The field of medical image processing plays a significant role in brain tumor classification.
The survival rate of patients can be increased by diagnosing the tumor at an early stage …
The survival rate of patients can be increased by diagnosing the tumor at an early stage …
Brain tumor classification utilizing deep features derived from high-quality regions in MRI images
The accurate and rapid detection of brain tumors is crucial for expediting patient
rehabilitation and saving lives. Brain tumors exhibit considerable variation in size, shape …
rehabilitation and saving lives. Brain tumors exhibit considerable variation in size, shape …
Brain MR image classification using superpixel-based deep transfer learning
Nowadays, brain MR (Magnetic Resonance) images are widely used by clinicians to
examine the brain's anatomy to look into various pathological conditions like …
examine the brain's anatomy to look into various pathological conditions like …
[HTML][HTML] Brain tumor classification and detection using hybrid deep tumor network
GA Amran, MS Alsharam, AOA Blajam, AA Hasan… - Electronics, 2022 - mdpi.com
Brain tumor (BTs) is considered one of the deadly, destructive, and belligerent disease, that
shortens the average life span of patients. Patients with misdiagnosed and insufficient …
shortens the average life span of patients. Patients with misdiagnosed and insufficient …
[HTML][HTML] Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor
A Akter, N Nosheen, S Ahmed, M Hossain… - Expert Systems with …, 2024 - Elsevier
Early diagnosis of brain tumors is critical for enhancing patient prognosis and treatment
options, while accurate classification and segmentation of brain tumors are vital for …
options, while accurate classification and segmentation of brain tumors are vital for …
Brain tumor detection using VGG19 model on adadelta and SGD optimizer
In both grown-ups and juvenile, brain tumors are the tenth most predominant cause of death
rate. There are many different sorts of tumors, and each one has extremely slim odds of …
rate. There are many different sorts of tumors, and each one has extremely slim odds of …
[HTML][HTML] A feature extraction using probabilistic neural network and BTFSC-net model with deep learning for brain tumor classification
Background and Objectives: Brain Tumor Fusion-based Segments and Classification-Non-
enhancing tumor (BTFSC-Net) is a hybrid system for classifying brain tumors that combine …
enhancing tumor (BTFSC-Net) is a hybrid system for classifying brain tumors that combine …