Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools
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 …
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
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …
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 …
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 …
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 …
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
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 …
(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 …
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 …
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
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 …
Brain tumor detection with integrating traditional and computational intelligence approaches across diverse imaging modalities-Challenges and future directions
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 …
treatment planning of brain tumors. Accurate and efficient methods for identifying tumor …