most citedSelf-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024★ 2 cited

Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification

Salome Kazeminia, Max Joosten, Dragan Bosnacki +1

Automated disease diagnosis using medical image analysis relies on deep learning, often requiring large labeled datasets for supervised model training. Diseases like Acute Myeloid…

cs.CV2021

ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification

Ralf Raumanns, Gerard Schouten, Max Joosten +2

We present ENHANCE, an open dataset with multiple annotations to complement the existing ISIC and PH2 skin lesion classification datasets. This dataset contains annotations of visu…