SwinBTS: A method for 3D multimodal brain tumor segmentation using swin transformer

Y Jiang, Y Zhang, X Lin, J Dong, T Cheng, J Liang - Brain sciences, 2022 - mdpi.com
Brain tumor semantic segmentation is a critical medical image processing work, which aids
clinicians in diagnosing patients and determining the extent of lesions. Convolutional neural …

Breast cancer classification from ultrasound images using probability-based optimal deep learning feature fusion

K Jabeen, MA Khan, M Alhaisoni, U Tariq, YD Zhang… - Sensors, 2022 - mdpi.com
After lung cancer, breast cancer is the second leading cause of death in women. If breast
cancer is detected early, mortality rates in women can be reduced. Because manual breast …

Breast Cancer Classification Depends on the Dynamic Dipper Throated Optimization Algorithm

AA Alhussan, MM Eid, SK Towfek, DS Khafaga - Biomimetics, 2023 - mdpi.com
According to the American Cancer Society, breast cancer is the second largest cause of
mortality among women after lung cancer. Women's death rates can be decreased if breast …

Multi-modal brain tumor detection using deep neural network and multiclass SVM

S Maqsood, R Damaševičius, R Maskeliūnas - Medicina, 2022 - mdpi.com
Background and Objectives: Clinical diagnosis has become very significant in today's health
system. The most serious disease and the leading cause of mortality globally is brain cancer …

Brain tumor classification using dense efficient-net

DR Nayak, N Padhy, PK Mallick, M Zymbler, S Kumar - Axioms, 2022 - mdpi.com
Brain tumors are most common in children and the elderly. It is a serious form of cancer
caused by uncontrollable brain cell growth inside the skull. Tumor cells are notoriously …

[HTML][HTML] Taxonomy of hybrid architectures involving rule-based reasoning and machine learning in clinical decision systems: A scoping review

S Kierner, J Kucharski, Z Kierner - Journal of Biomedical Informatics, 2023 - Elsevier
Background As the application of Artificial Intelligence (AI) technologies increases in the
healthcare sector, the industry faces a need to combine medical knowledge, often …

An intelligent system for early recognition of Alzheimer's disease using neuroimaging

M Odusami, R Maskeliūnas, R Damaševičius - Sensors, 2022 - mdpi.com
Alzheimer's disease (AD) is a neurodegenerative disease that affects brain cells, and mild
cognitive impairment (MCI) has been defined as the early phase that describes the onset of …

Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare

S Maqsood, R Damaševičius - Neural networks, 2023 - Elsevier
Background: The idea of smart healthcare has gradually gained attention as a result of the
information technology industry's rapid development. Smart healthcare uses next-generation …

A new model for brain tumor detection using ensemble transfer learning and quantum variational classifier

J Amin, MA Anjum, M Sharif, S Jabeen… - Computational …, 2022 - Wiley Online Library
A brain tumor is an abnormal enlargement of cells if not properly diagnosed. Early detection
of a brain tumor is critical for clinical practice and survival rates. Brain tumors arise in a …

A novel and effective brain tumor classification model using deep feature fusion and famous machine learning classifiers

H Kibriya, R Amin, AH Alshehri… - Computational …, 2022 - Wiley Online Library
Brain tumors are difficult to treat and cause substantial fatalities worldwide. Medical
professionals visually analyze the images and mark out the tumor regions to identify brain …