5 papers · 1 filter
Data Safety: Synthetic Data Quality Analysis Using CIFAKE Dataset
Kuniko Paxton, Amila Akagić, Koorosh Aslansefat +2
Recently, the societal implementation of high-performance image classification models has expanded rapidly. While these models require vast amounts of training data to improve perf…
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…
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…
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…
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…