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Found 5 papers, 1 papers with code
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition
The application of Tucker decomposition to the TS model substantially reduced the model parameters and FLOPs across various compression rates, with limited loss in segmentation accuracy.
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports
In a questionnaire, we asked 15 radiologists to assess the quality of radiology reports simplified by ChatGPT.
Mitosis domain generalization in histopathology images -- The MIDOG challenge
The goal of the MICCAI MIDOG 2021 challenge has been to propose and evaluate methods that counter this domain shift and derive scanner-agnostic mitosis detection algorithms.
MitoDet: Simple and robust mitosis detection
Mitotic figure detection is a challenging task in digital pathology that has a direct impact on therapeutic decisions.
Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification
We propose a metric for identifying superpixels with an uncertain classification and evaluate two medical applications, namely tumor area and invasive margin estimation and tumor composition analysis.
