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eess.IV2023★ 1 cited
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging
Łukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki +3
Multiple Instance Learning (MIL) is a weakly-supervised problem in which one label is assigned to the whole bag of instances. An important class of MIL models is instance-based, wh…
eess.IV2020★ 1 cited
LocoGAN -- Locally Convolutional GAN
Łukasz Struski, Szymon Knop, Jacek Tabor +2
In the paper we construct a fully convolutional GAN model: LocoGAN, which latent space is given by noise-like images of possibly different resolutions. The learning is local, i.e.…