Dual path sub-type diagnostic model based on the anatomic morphological feature

L Fang, Y Jiang - Biomedical Signal Processing and Control, 2024 - Elsevier
Intracranial hematoma can compress the brain tissue, resulting in increased cranial
pressure and a high fatality rate. Therefore, providing a rapid and accurate clinical diagnosis …

R2A-UNET: double attention mechanisms with residual blocks for enhanced MRI image segmentation

N Bentaher, S Lafraxo, Y Kabbadj, M Ben Salah… - Multimedia Tools and …, 2025 - Springer
Gliomas, a highly aggressive and malignant category of brain tumors, continue to pose a
significant global health challenge. Originating from the abnormal and uncontrolled growth …

AI-assisted Segmentation Tool for Brain Tumor MR Image Analysis

M Lee, JH Kim, W Choi, KH Lee - Journal of Imaging Informatics in …, 2024 - Springer
TumorPrism3D software was developed to segment brain tumors with a straightforward and
user-friendly graphical interface applied to two-and three-dimensional brain magnetic …

Classification and Pixel Change Detection of Brain Tumor Using Adam Kookaburra Optimization–Based Shepard Convolutional Neural Network

S Abirami, K Ramesh… - NMR in Biomedicine, 2025 - Wiley Online Library
The uncommon growth of cells in the brain is termed as brain tumor. To identify chronic
nerve problems, like strokes, brain tumors, multiple sclerosis, and dementia, brain magnetic …

DDANet: A deep dilated attention network for intracerebral haemorrhage segmentation

H Liu, Y Zeng, H Li, F Wang, J Chang… - IET Systems …, 2024 - Wiley Online Library
Intracranial haemorrhage (ICH) is an urgent and potentially fatal medical condition caused
by brain blood vessel rupture, leading to blood accumulation in the brain tissue. Due to the …

Advanced AI-based System for Precision Oil Spill Detection in Marine Environments

SD Lalitha, S Senthilkumar, BP Kumar… - … a Sustainable World …, 2024 - igi-global.com
Oil spills threaten marine ecosystems, demanding precise detection methods. This paper
introduces an AI-based system for accurate and timely oil spill detection in marine …

An Ensemble Deep Learning Approach for Enhanced Classification of Pituitary Tumors

SD Muhammad, Z Kobti - 2023 IEEE Symposium Series on …, 2023 - ieeexplore.ieee.org
Tumor detection has emerged as a significant aspect of neuro-oncology and
neuroradiology, with critical importance in improving patient survival rates. Tumors, whether …

Machine Learning with Neural Networks for Early Detection of Peripheral Neuropathy in Patients with Diabetes

RR Chandan, YMM John, J Agarwal… - … and Smart Electrical …, 2023 - ieeexplore.ieee.org
A key difficulty in healthcare is the often-delayed diagnosis and incapacitating effects of
peripheral neuropathy, a frequent complication of diabetes. In this research, We examine the …

Brain Tumor MRI Segmentation Using Deep Instance Segmentation with Bioinspired Optimization Algorithm

P Balaji, LEG Alsid, S Mishra, AJ Obaid… - Doctoral Symposium on …, 2024 - Springer
Brain tumor (BT) segmentation plays a major part in medical image processing. Earlier
detection of BTs is an important task in improving treatment possibilities and increasing the …

Brain Tumor Detection with YOLOv8

C Mahale, S Meshram… - 2023 4th International …, 2024 - ieeexplore.ieee.org
Brain tumors are cancer causing cells which when developed inside a person's brain can
cause them life threatening challenges. The major objective of this study is to detect brain …