It's a good way to praise yourself
1.We demonstrate that our approach significantly outperforms state-of-the-art techniques and closely matches the performance of human annotators.
We show that our method significantly outperforms the state-of-the-art technology and is very close to the performance of human annotation.
2.Our method achieved significant improvements in comparison with the state-ofthe-artmethods on tumor localization accuracy with a much faster speed and even surpassed human performance on both challenge tasks.
Compared with existing methods, our method has a significant improvement in tumor localization accuracy, is faster, and even surpasses human performance on two challenging tasks.
3.Our model is achieved a state-of-the-art performance in epithelial cells detection and Gleason grading tasks simultaneously.
Our model has reached the most advanced level in epithelial cell detection and Gleason grading tasks.
4.The method surpasses the bicubic interpolation method and sparse coding-based methods without any feature engineering.
This method surpasses the bicubic interpolation method and the method based on sparse coding, without any feature engineering.
Some vocabulary descriptions of pathology papers
Since the traditional manual screening is subjective and time-consuming
However, imaging high-resolution digital slides requires expensive equipment, long scanning time and a high amount of storage space when compared to imaging low-resolution digital slides.
At the same time, it can improve image quality, reduce storage space, speed up transmission and provide more details to improve diagnostic accuracy.