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W. Swastika

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Open access 2026

Comparative Analysis of Loss Functions for Semantic Segmentation: An Empirical Study on Cityscapes Dataset

The findings conclusively demonstrate that optimized combined loss function weighting achieves better segmentation performance than both individual approaches and naive equal weighting strategies, with consistent improvements across different network architectures.

W. Swastika · 0 citations
Open access Jul 2026

Light-CNN Optimization for chest x-ray classification in establishing diagnoses in pneumonia cases

Light CNN demonstrates that systematic integration of lightweight architectural techniques can achieve clinically relevant diagnostic performance with minimal computational overhead, supporting its potential deployment in mobile and edge computing scenarios for point-of-care pneumonia diagnosis.

W. Swastika, Heri Kristianto, Paulus Lucky Tirma Irawan et al. · 0 citations

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