Search Results - "Ishihata, Hiroaki"

Deep Learning of Phase-Contrast Images of Cancer Stem Cells Using a Selected Dataset of High Accuracy Value Using Conditional Generative Adversarial Networks by Zhang, Zaijun, Ishihata, Hiroaki, Maruyama, Ryuto, Kasai, Tomonari, Kameda, Hiroyuki, Sugiyama, Tomoyasu

“…Artificial intelligence (AI) technology for image recognition has the potential to identify cancer stem cells (CSCs) in cultures and tissues. CSCs play an…”
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Temporal and Locational Values of Images Affecting the Deep Learning of Cancer Stem Cell Morphology by Hanai, Yumi, Ishihata, Hiroaki, Zhang, Zaijun, Maruyama, Ryuto, Kasai, Tomonari, Kameda, Hiroyuki, Sugiyama, Tomoyasu

“…Deep learning is being increasingly applied for obtaining digital microscopy image data of cells. Well-defined annotated cell images have contributed to the…”
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AI-based Apoptosis Cell Classification Using Phase-contrast Images of K562 Cells by Kikuchi, Yuki, Okuhashi, Yuki, Ishihata, Hiroaki, Kashiba, Misato, Sasaki, Satoshi

“…This study aimed to automate the classification of cells, particularly in identifying apoptosis, using artificial intelligence (AI) in conjunction with…”
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Distributed Deep Learning of ResNet50 and VGG16 with Pipeline Parallelism by Takisawa, Naoki, Yazaki, Syunji, Ishihata, Hiroaki

“…Data parallel distributed deep learning has been used to accelerate the learning speed. The communication is becoming a bottleneck as the computation time is…”
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Sex Classification of Salmon Using Convolutional Neural Network by Kuramoto, Takumi, Abe, Shuji, Ishihata, Hiroaki

“…In this study, we attempted to classify the sex of salmon using a convolutional neural network. We collected labeled(male/female) images of salmon and other…”
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Poster: Visualization Tool for Development of Topology-Aware Network Communication Algorithm by Suzuki, Ryohei, Ishihata, Hiroaki

“…We develop a visualization tool for designing a topology-aware communication algorithm. This tool visualizes the communication behavior from the logs of a…”
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Abstract: Visualization Tool for Development of Topology-Aware Network Communication Algorithm by Suzuki, Ryohei, Ishihata, Hiroaki

“…We develop a visualization tool for designing a topology-aware communication algorithm. This tool visualizes the communication behavior from the logs of a…”
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An Efficient All-to-all Communication Algorithm for Mesh/Torus Networks by Yazaki, S., Takaue, H., Ajima, Y., Shimizu, T., Ishihata, H.

“…An efficient all-to-all communication algorithm for torus and mesh networks, A2AT, was proposed. A2AT schedules message sending sequence so that all links are…”
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Low-latency message communication support for the AP1000 by Shimizu, Toshiyuki, Horie, Takeshi, Ishihata, Hiroaki

“…Low-latency communication is the key to achieving a high-performance parallel computer. In using state-of-the-art processors, we must take cache memory into…”
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Improving AP1000 parallel computer performance with message communication by Horie, Takeshi, Hayashi, Kenichi, Shimizu, Toshiyuki, Ishihata, Hiroaki

“…The performance of message-passing applications depends on cpu speed, communication throughput and latency, and message handling overhead. In this paper we…”
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Cellular array processor CAP and applications by Ishi, M., Sato, H., Murakami, K., Ikesaka, M., Ishihata, H.

“…A description is given of a general-purpose, highly parallel, cellular array processor (CAP) featuring multiple-instruction-stream multiple-data-stream (MIMD)…”
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