https://www.selleckchem.com/pr....oducts/z-ietd-fmk.ht
In addition, we experimentally clarified the effect of the number and position of teacher labels on performance. Compared with supervised learning when a small number of labeled data was obtained, the performance of the proposed method was shown to be superior. Our 4S leverages a limited number of labeled data and a large amount of unlabeled data to extract neural regions from serial image stacks in a transductive setting. We plan to develop this method as a core module of a general-purpose annotation tool in our future work. Our 4S
إعجاب
علق
شارك
