Sep 29, 2020 · The inspiration for our method is to combine information from multiple scales and locations, as the fovea of the eye does that automatically ...
In this work, we first show under typical memory constraints (e.g., 10G GPU memory) that the trade-off between FoV and resolution considerably affects ...
The foveation module is jointly trained with the segmentation network to maximise the task performance. We demonstrate, on the Gleason2019 challenge dataset for ...
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This is a PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images which extends our prior publication at MICCAI 2020.
Fig.3 provides a schematic of the proposed method. Foveation module takes a low-resolution version of a mega-pixel input image and generates importance weights ...
Jul 29, 2020 · Segmentation of ultra-high resolution images is challenging because of their enormous size, consisting of millions or even billions of pixels.
Missing: Mega- | Show results with:Mega-
Duration: 9:57
Posted: Jul 19, 2021
Posted: Jul 19, 2021
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images ... Foveation for Segmentation of Mega-Pixel Histology Images. C Jin, R Tanno, ...