27 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- AGH University of KrakowPL4 papers
- Jagiellonian UniversityPL3 papers
- Hohai UniversityCN2 papers
- Universitas Ahmad DahlanID2 papers
- American UniversityUS1 paper
- Czech Academy of Sciences, Institute of Computer ScienceCZ1 paper
- Institute of Computer SciencePL1 paper
- King Abdulaziz UniversitySA1 paper
- Kyoto UniversityJP1 paper
- Samarkand State University named after Sharof RashidovUZ1 paper
- State University of MalangID1 paper
- Sylhet Agricultural UniversityBD1 paper
4 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…
Segmentasi Citra Menggunakan Metode Watershed Transform Berdasarkan Image Enhancement Dalam Mendeteksi Embrio Telur
Shoffan Saifullah
Image processing can be applied in the detection of egg embryos. The egg embryos detection is processed using a segmentation process. The segmentation divides the image according t…
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…