Xiaoping Yang

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International Conferences on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2017 and 2018. The image dataset is diverse and contains primary and secondary tumors with varied sizes and appearances with various lesion-to-background levels (hyper-/hypo-dense), created in collaboration with seven hospitals and research institutions. Seventy-five submitted liver and liver tumor segmentation algorithms were trained on a set of 131 computed tomography (CT) volumes and were tested on 70 unseen test images acquired from different patients. We found that not a single algorithm performed best for both liver and liver tumors in the three events. The best liver segmentation algorithm achieved a Dice score of 0.963, whereas, for tumor segmentation, the best algorithms achieved Dices scores of 0.674 (ISBI 2017), 0.702 (MICCAI 2017), and 0.739 (MICCAI 2018). Retrospectively, we performed additional analysis on liver tumor detection and revealed that not all top-performing segmentation algorithms worked well for tumor detection. The best liver tumor detection method achieved a lesion-wise recall of 0.458 (ISBI 2017), 0.515 (MICCAI 2017), and 0.554 (MICCAI 2018), indicating the need for further research. LiTS remains an active benchmark and resource for research, e.g., contributing the liver-related segmentation tasks in http://medicaldecathlon.com/. In addition, both data and online evaluation are accessible via https://competitions.codalab.org/competitions/17094.

Double crossover molecules are DNA structures containing two Holliday junctions connected by two double helical arms. There are several types of double crossover molecules, differentiated by the relative orientations of their helix axes, parallel or antiparallel, and by the number of double helical half-turns (even or odd) between the two crossovers. We have examined these molecules from the viewpoint of their potential utility in nanoconstruction. Whereas the parallel double helical molecules are usually not well behaved, we have focused on the antiparallel molecules; antiparallel molecules with an even number of half turns between crossovers (termed DAE molecules) produce a reporter strand when ligated, so these have been characterized in a ligation cyclization assay. In contrast to other molecules that contain branched junctions, we find that these molecules cyclize rarely or not at all. The double crossover molecules cyclize no more readily than the linear molecule containing the same sequence as the ligation domain. We have tested both a conventional DAE molecule and one containing a bulged three-arm branched junction between the crossovers. The conventional DAE molecule appears to be slightly stiffer, but so few cyclic products are obtained in either case that quantitative comparisons are not possible. Thus, it appears that these molecules may be able to serve as the rigid components that are needed to assemble symmetric molecular structures, such as periodic lattices. We suggest that they be combined with DNA triangles and deltahedra in order to accomplish this goal.