Here, we present a fully automated deep learning based approach for detection and classification of DNA replication forks. It is based on the Faster R-CNN ...
ABSTRACT. Currently, one of the most effective techniques to study the mechanisms of DNA replication is using the electron mi- croscopy. Typical imaging ...
This paper studies the role of different sampling techniques in the process of learning Binarized Statistical Image Features (BSIF). It considers various ...
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Aug 9, 2019 · The Faster R-CNN [3] paper fixes this by using another convolutional network (the RPN) to generate the region proposals. This not only brings ...
Missing: Replication Forks Em
Detection of Microcalcifications in Mammograms Based on Hyper Faster R-CNN. PROCEEDINGS ARTICLE published 22 December 2021 in 2021 4th International ...
Detection Of Replication Forks In Em Images Using Faster R-Cnn. PROCEEDINGS ARTICLE published 13 April 2021 in 2021 IEEE 18th International Symposium on ...
Dec 3, 2016 · The unequivocal identification of replication fork structures requires high magnification images to differentiate a true junction from ...
Detection of replication forks in em images using faster R-Cnn. Zhao, W., Manolika, E. M., Chaudhuri, A. R. & Smal, I., 13 Apr 2021, 2021 IEEE 18th ...
Jun 4, 2015 · The RPN is trained end-to-end to generate high-quality region proposals, which are used by Fast R-CNN for detection. We further merge RPN and ...
Missing: Replication Forks Em