Domain Adaptation through Photorealistic Enhanced Images for Semantic Segmentation

In this paper, three types of domain adaptation which are defined as image-level domain adaptation, interdomain adaptation, and intradomain adaptation are efficiently combined to construct a high efficiency framework for semantic segmentation. The proposed domain adaptation platform can achieve a high reduction of time-consuming to generate exhausted supervised data in the real world using photorealistic images. The proposed framework achieved a mean Intersection-over-Union (mIoU) of 45.0%. Furthermore, by combining the proposed method with intradomain adaptation, the improvement of 1.2% mIoU is achieved compared to previous work

H.265/HVC における高性能符号化アルゴリズムに関する研究

This work proposes a novel INTRA coding algorithm which can achieve high coding efficiency using temporal-spatial prediction for H.264/AVC. The proposed prediction algorithm can compensate the weak point of individual usage of spatial or temporal prediction. Firstly, a new prediction block is selected in the temporal previous frame. Next, the selected block in the previous frame is used as the reference data to perform spatial prediction with the same reference direction as traditional INTRA modes. The coding process can also be reconstructed in decoder side without additional bit transfer. The simulation results show that the proposed new INTRA modes can achieve about 1dB improvement than the original H.264/AVC

Development of Flat Tube Heat Exchanger for Heat Pump Air Conditoner

We developed a new type of a heat pump outdoor unit using an aluminum flat tube heat exchanger in order to improve the energy saving capability of an air conditioner. There are several difficulties in keeping a desired drainage performance, frost formation performance, as well as even distribution of refrigerant, when applying the flat tube heat exchanger to heat pump outdoor units. In order to achieve the same drainage performance and the frost formation performance as those of conventional heat exchangers, we have adopted new plate fins with ellipse cutouts. Flat tubes were inserted in the ellipse cutouts, and the slit position on a plate fin was properly adjusted. In order to achieve the even distribution of refrigerant, an aluminum distributor and 3-way pipes were installed to the evaporator. In this report, first we describe features of the flat tube heat exchanger. Next, we present and explain experimental results of the air-side heat transfer coefficient and the air-side pressure drop on the condition of dry, wet, and frost state respectively. Moreover, we present experimental results of the total heat transfer performance, including the refrigerant performance, under the conditions of the condensation and the evaporation. Finally, we explain the heat transfer performance and the effect of the flat tube heat exchanger to a conventional one in the case that the developed heat exchanger was mounted in heat pump outdoor unit

DRMS for Patient-Level Lymph Node Status Classification

Generally, automatic diagnosis of the presence of metastases in lymph nodes has therapeutic implications for breast cancer patients. Detection and classification of breast cancer metastases have high clinical relevance, especially in whole-slide images of histological lymph node sections. Fast early detection leads to huge improvement of patient’s survival rate. However, currently pathologists mainly detect the metastases with microscopic assessments. This diagnosis procedure is extremely laborious and prone to inevitable missed diagnoses. Therefore, automated, accurate patient-level classification would hold great promise to reduce the pathologist’s workload while also reduce the subjectivity of diagnosis. In this paper, we provide a novel deep regional metastases segmentation (DRMS) framework for the patient-level lymph node status classification. First, a deep segmentation network (DSNet) is proposed to detect the regional metastases in patch-level. Then, we adopt the density-based spatial clustering of applications with noise (DBSCAN) to predict the whole metastases from individual slides. Finally, we determine patient-level pN-stages by aggregating each individual slide-level prediction. In combination with the above techniques, the framework can make better use of the multi-grained information in histological lymph node section of whole-slice images. Experiments on large-scale clinical datasets (e.g., CAMELYON17) demonstrate that our method delivers advanced performance and provides consistent and accurate metastasis detection in clinical trials

Exportin-5 orthologues are functionally divergent among species

Exportin-5, an evolutionarily conserved nuclear export factor belonging to the importin-β family of proteins, is known to play a role in the nuclear export of small noncoding RNAs such as precursors of microRNA, viral minihelix RNA and a subset of tRNAs in mammalian cells. In this study, we show that the exportin-5 orthologues from different species such as human, fruit fly and yeast exhibit diverged functions. We found that Msn5p, a yeast exportin-5 orthologue, binds double-stranded RNAs and that it prefers a shorter 22 nt, double-stranded RNA to ∼80 nt pre-miRNA, even though both of these RNAs share a similar terminal structure. Furthermore, we found that Drosophila exportin-5 binds pre-miRNAs and that amongst the exportin-5 orthologues tested, it shows the highest affinity for tRNAs. The knockdown of Drosophila exportin-5 in cultured cells decreased the amounts of tRNA as well as miRNA, whereas the knock down of human exportin-5 in cultured cells affected only miRNA but not tRNA levels. These results indicate that double-stranded RNA binding ability is an inherited functional characteristic of the exportin-5 orthologues and that Drosophila exportin-5 functions as an exporter of tRNAs as well as pre-miRNAs in the fruit fly that lacks the orthologous gene for exportin-t

ＧＰＵを用いた動画像高速編集手法に関する研究

The video coding standard H.264/AVC can achieve higher coding efficiency than previous standards. However, it comes at the expense of an increased encoding complexity, especially for motion estimation process which induces very time consuming task even for current central processing units (CPU). On the other hand, due to the rapid growth of the processing capability of graphics processing unit (GPU), using GPU as a coprocessor to assist the CPU in computing massive data becomes essential. In this work, we propose a fast parallel algorithm for motion estimation (ME) process in H.264/AVC on a computer unified device architecture (CUDA) platform. The proposed algorithm performs the parallel calculation of the residuals and SAD. Simulation results show that with the assistance of GPU the processing time is about 2 times faster than that of using CPU only

Transient Regional Wall Motion Abnormality and Increased Wall Thickness of the Left Ventricle in Acute Myopericarditis Occurring in the Puerperium

An unusual sequence of echocardiographic abnormalities of a 25-year-old female with acute myopericarditis was described. She presented with shortness of breath and a high body temperature after the birth of her first child. Regional asynergy and increased thickness of the left ventricle were transiently observed by echocardiography. It is considered that these abnormalities resulted from inflammatory changes in heart muscle such as edema, which was ascribable to acute myopericarditis in the puerperium