U-Net+R+A4

Reported on 5 benchmarks across 1 task · 1 paper · 5 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical5 results

Medical Image SegmentationonNIH
AVD· 2019-04-19
0.262
SOTA
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation arXiv:1904.09229
Medical Image SegmentationonNIH
Dice Score· 2019-04-19
0.962
SOTA
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation arXiv:1904.09229
Medical Image SegmentationonNIH
Precision· 2019-04-19
0.969
SOTA
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation arXiv:1904.09229
Medical Image SegmentationonNIH
Recall· 2019-04-19
0.956
SOTA
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation arXiv:1904.09229
Medical Image SegmentationonNIH
VS· 2019-04-19
0.985
SOTA
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation arXiv:1904.09229