Accurate multilevel thresholding image segmentation via oppositional Snake Optimization algorithm: Real cases with liver disease
EH Houssein, N Abdalkarim, K Hussain… - Computers in Biology …, 2024 - Elsevier
Liver-related diseases significantly contribute to global mortality rates. Accurate
segmentation of liver disease from CT scans is essential for early diagnosis and treatment …
segmentation of liver disease from CT scans is essential for early diagnosis and treatment …
[PDF][PDF] Liver Multi-class Tumour Segmentation and Detection Based on Hyperion Pre-trained Models.
M Ibrahim, M Mahmoud, RM Albadawy… - International Journal of …, 2022 - inass.org
Liver cancer is a common type of cancer that causes death, because there are no noticeable
symptoms at an early stage, as this disease is not detected in most patients until cancer has …
symptoms at an early stage, as this disease is not detected in most patients until cancer has …
A novel MF-DFA-Phase-Field hybrid MRIs classification system
J Wang, H Xu, W Jiang, Z Han, J Kim - Expert Systems with Applications, 2023 - Elsevier
Accurate classification of magnetic resonance imaging (MRI) is an urgent need in clinical
medicine. In this study, we explore an integrated classification model using multifractal …
medicine. In this study, we explore an integrated classification model using multifractal …