Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools

R Ranjbarzadeh, A Caputo, EB Tirkolaee… - Computers in biology …, 2023 - Elsevier
Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …

A comprehensive survey on the detection, classification, and challenges of neurological disorders

AA Lima, MF Mridha, SC Das, MM Kabir, MR Islam… - Biology, 2022 - mdpi.com
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …

Efficient artificial intelligence approaches for medical image processing in healthcare: comprehensive review, taxonomy, and analysis

OAMF Alnaggar, BN Jagadale, MAN Saif… - Artificial Intelligence …, 2024 - Springer
In healthcare, medical practitioners employ various imaging techniques such as CT, X-ray,
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …

Automatic detection of breast cancer in ultrasound images using Mayfly algorithm optimized handcrafted features

K Vijayakumar, V Rajinikanth… - Journal of X-Ray …, 2022 - content.iospress.com
BACKGROUND: The incidence rates of breast cancer in women community is progressively
raising and the premature diagnosis is necessary to detect and cure the disease …

A random forest classifier for anomaly detection in laser-powder bed fusion using optical monitoring

IA Khan, H Birkhofer, D Kunz, D Lukas, V Ploshikhin - Materials, 2023 - mdpi.com
Metal additive manufacturing (AM) is a disruptive production technology, widely adopted in
innovative industries that revolutionizes design and manufacturing. The interest in quality …

Brain tumor detection in MRI images using adaptive-ANFIS classifier with segmentation of tumor and edema

R Kalam, C Thomas, MA Rahiman - Soft Computing, 2023 - Springer
The brain is a significant organ that controls all activities of the body parts. A Brain Tumor
(BT) is a group of tissues, which are structured by the gradual accumulation of irregular cells …

TumorAwareNet: Deep representation learning with attention based sparse convolutional denoising autoencoder for brain tumor recognition

JD Bodapati, BB Balaji - Multimedia Tools and Applications, 2024 - Springer
Learning discriminate representations from images plays crucial role in medical image
analysis. The attention mechanism, on the other hand, leads to breakthrough results in the …

A survey on brain tumor image analysis

K Sailunaz, S Alhajj, T Özyer, J Rokne… - Medical & Biological …, 2024 - Springer
Medical imaging, also known as radiology, is the field of medicine in which medical
professionals recreate various images of parts of the body for diagnostic or treatment …

ETISTP: An enhanced model for brain tumor identification and survival time prediction

S Hussain, S Haider, S Maqsood, R Damaševičius… - Diagnostics, 2023 - mdpi.com
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 …

Brain tumor detection with integrating traditional and computational intelligence approaches across diverse imaging modalities-Challenges and future directions

A Batool, YC Byun - Computers in Biology and Medicine, 2024 - Elsevier
Brain tumor segmentation and classification play a crucial role in the diagnosis and
treatment planning of brain tumors. Accurate and efficient methods for identifying tumor …