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  • 検索条件 : 絞込み (MeSH = Deep Learning*)
生物種 リソース名 タイトル
線虫 Fast deep neural correspondence for tracking and identifying neurons in C. elegans using semi-synthetic training.
研究用ヒト臍帯血幹細胞 CD34+ Human induced pluripotent stem cell formation and morphology prediction during reprogramming with time-lapse bright-field microscopy images using deep learning methods.
ヒト・動物細胞 HeLa(RCB0007) Automated detection of patterned single-cells within hydrogel using deep learning.
研究用ヒト臍帯血幹細胞 Prediction of Human Induced Pluripotent Stem Cell Formation Based on Deep Learning Analyses Using Time-lapse Brightfield Microscopy Images.
ヒト・動物細胞 HUDEP-2(RCB4557) Multiplexed high-throughput localized electroporation workflow with deep learning-based analysis for cell engineering.
ヒト・動物細胞 HeLa(RCB0007) 3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images.
アサガオ AK1 Effectiveness of Create ML in microscopy image classifications: a simple and inexpensive deep learning pipeline for non-data scientists.
ヒト・動物細胞 HL60(RCB0041) Comparative mapping of crawling-cell morphodynamics in deep learning-based feature space.
GBIF Plant specimens of Ishikawa Museum of Natural History , Plant Specimens of The Cattle Museum , Long-term fauna and flora records of the experimental forests of the Forest Research Station of Hokkaido University, Japan , Plant specimens of Toyota City Nature Sanctuary , Plant specimens of Otaru Museum , Plant specimens of Komatsu City Museum , The 6-7th National Survey on the Natural Environment: Vegetation Survey , Vascular Plant Specimens of Yamagata Prefectural Museum , Vascular plant specimens of Akita Prefectural Museum , Herbarium, University Archives and Collections, Fukushima University, Japan (FKSE) , ... Automated conservation assessment of the orchid family with deep learning.
一般微生物 JCM2499 , JCM1465 , JCM20478 Modeling growth limits of Bacillus spp. spores by using deep-learning algorithm.