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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.CV2026

Data Safety: Synthetic Data Quality Analysis Using CIFAKE Dataset

Kuniko Paxton, Amila Akagić, Koorosh Aslansefat +2

The paper examines how synthetic images generated by different methods differ from real images in feature space, color statistics, and model training, and proposes strategies for e…

cs.CV2026

Exploring the Impact of Skin Color on Skin Lesion Segmentation

Kuniko Paxton, Medina Kapo, Amila Akagić +3

Skin cancer, particularly melanoma, remains a major cause of morbidity and mortality, making early detection critical. AI-driven dermatology systems often rely on skin lesion segme…

cs.CV2025

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML

Kuniko Paxton, Koorosh Aslansefat, Amila Akagić +2

Recent advancements in skin lesion classification models have significantly improved accuracy, with some models even surpassing dermatologists' diagnostic performance. However, in…

cs.CV2025

Performance comparison of medical image classification systems using TensorFlow Keras, PyTorch, and JAX

Merjem Bećirović, Amina Kurtović, Nordin Smajlović +2

Medical imaging plays a vital role in early disease diagnosis and monitoring. Specifically, blood microscopy offers valuable insights into blood cell morphology and the detection o…

cs.CV2025

Comparative Analysis of CNN Performance in Keras, PyTorch and JAX on PathMNIST

Anida Nezović, Jalal Romano, Nada Marić +2

Deep learning has significantly advanced the field of medical image classification, particularly with the adoption of Convolutional Neural Networks (CNNs). Various deep learning fr…