27 citations · 138 across the 9 of their papers we have counts for
3 papers · 1 filter
PSO-UNet: Particle Swarm-Optimized U-Net Framework for Precise Multimodal Brain Tumor Segmentation
Shoffan Saifullah, Rafał Dreżewski
Medical image segmentation, particularly for brain tumor analysis, demands precise and computationally efficient models due to the complexity of multimodal MRI datasets and diverse…
Comparative Analysis of Image Enhancement Techniques for Brain Tumor Segmentation: Contrast, Histogram, and Hybrid Approaches
Shoffan Saifullah, Andri Pranolo, Rafał Dreżewski
This study systematically investigates the impact of image enhancement techniques on Convolutional Neural Network (CNN)-based Brain Tumor Segmentation, focusing on Histogram Equali…
Fish Detection Using Morphological Approach Based-on K-Means Segmentation
Shoffan Saifullah, Andiko Putro Suryotomo, Bambang Yuwono
Image segmentation is a concept that is often used for object detection. This detection has difficulty detecting objects with backgrounds that have many colors and even have a colo…