Ceph-Net: automatic detection of cephalometric landmarks on scanned lateral cephalograms from children and adolescents using an attention-based stacked regression network.

BACKGROUND: The success of cephalometric analysis depends on the accurate detection of cephalometric landmarks on scanned lateral cephalograms. However, manual cephalometric analysis is time-consuming and can cause inter- and intra-observer variability. The purpose of this study was to automatically detect cephalometric landmarks on scanned lateral cephalograms with low contrast and resolution using an attention-based stacked regression network (Ceph-Net). METHODS: The main body of Ceph-Net compromised stacked fully convolutional networks (FCN) which progressively refined the detection of cephalometric landmarks on each FCN. By embedding dual attention and multi-path convolution modules in Ceph-Net, the network learned local and global context and semantic relationships between cephalometric landmarks. Additionally, the intermediate deep supervision in each FCN further boosted the training stability and the detection performance of cephalometric landmarks. RESULTS: Ceph-Net showed a superior detection performance in mean radial error and successful detection rate, including accuracy improvements in cephalometric landmark detection located in low-contrast soft tissues compared with other detection networks. Moreover, Ceph-Net presented superior detection performance on the test dataset split by age from 8 to 16 years old. CONCLUSIONS: Ceph-Net demonstrated an automatic and superior detection of cephalometric landmarks by successfully learning local and global context and semantic relationships between cephalometric landmarks in scanned lateral cephalograms with low contrast and resolutions.

The mitochondrial genome of the smaller tea tortrix Adoxophyes honmai (Lepidoptera: Tortricidae).

Almost complete mitochondrial genome from a representative of an insect order Lepidoptera, the smaller tea tortrix Adoxophyes honmai was determined. The 15,680 bp long A. honmai genome encodes 13 putative proteins, two ribosomal RNAs and 22 tRNAs. The nucleotide sequences of A. honmai mitochondrial DNA have been compared with those of five species from the Lepidoptera and insects in the other orders that are available in the databases. The orientation and gene order of A. honmai is almost same to that of other insects with a few minor exceptions in the order of tRNAs and distribution of non-coding regions. Nucleotide composition, amino acid composition and codon usage are in the range of values estimated from other insect mitogenomes. In AT rich region of A. honmai, tandem reiterations are observed with repeats of TAA. In a preliminary phylogenetic analysis based on the concatenated 7 protein coding genes, A. honmai, an apoditrysian tortricid moth joined basally within the monophyly of Lepidoptera, supporting its relationship with other more derived species including obtectomeran Ostrinia species.