19 citations · 62 across the 4 of their papers we have counts for
4 papers
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…
Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms
Shoffan Saifullah, Rafal Drezewski, Anton Yudhana +7
This study explored the application of CNN-Transfer Learning for nondestructive chicken egg fertility detection for precision poultry hatchery practices. Four models, VGG16, ResNet…
K-means segmentation based-on lab color space for embryo detection in incubated egg
Shoffan Saifullah, Rafal Drezewski, Alin Khaliduzzaman +2
The quality of the hatching process influences the success of the hatch rate besides the inherent egg factors. Eliminating infertile or dead eggs and monitoring embryonic growth ar…