May 15, 2021 · We design a strategy to scan slides with low resolution (5X) and a super-resolution method is proposed to restore the image details when in diagnosis.

We design a strategy to scan slides with low resolution (5X) and a super-resolution method is proposed to restore the image details when in diagnosis.

Multi-scale super-resolution generation of low-resolution scanned pathological images · Yanhua Gao, Ting Xie, +6 authors. Kuansong Wang · Published in arXiv.org ...

We design a strategy to scan slides with low resolution (5X) and a super-resolution method is proposed to restore the image details when in diagnosis. The ...

Multi-scale super-resolution generation of low-resolution scanned pathological images. 2 stars 2 forks Branches Tags Activity.

In this paper, we propose a novel MMSRNet that formulates the pathological image SR in a multi-task learning way.

We design a strategy to scan slides with low resolution (LR) (5×), and a superresolution (SR) method is proposed to restore the image details during diagnosis.

Nov 19, 2023 · It helps improve the quality, reduce noise, and enhance the image contrast. One challenge faced in medical imaging is the often low resolution ( ...

Jul 18, 2024 · Method: We propose to scan at a magnification of 5 times (5X). We developed a novel multi-scale deep learning super-resolution (SR) model that ...

Aug 27, 2024 · We introduce Histo-Diffusion, a novel diffusion-based method specially designed for generating and evaluating super-resolution images in digital pathology.