A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
Robust detection of abnormality in highly corrupted medical images
Electronic Journal of Statistics
Medical imaging helps to detect and monitor internal irregularities in the human body. We leverage a block median filtering technique to model pixel-to-pixel differences between two images to develop automated detection of abnormalities in noisy medical images. We propose two robust detection methods, with the test statistic being the conventional maxima and the scale-invariant ratio of the medians from partitioned image grids. Theoretically, we investigate the asymptotic behaviors of twodoi:10.1214/21-ejs1906 fatcat:aqagjwrivjbbtbecg3yvezwmca