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Towards Lifespan Automation for Caenorhabditis elegans Based on Deep Learning: Analysing Convolutional and Recurrent Neural Networks for Dead or Live Classification.

, , , , и . Sensors, 21 (14): 4943 (2021)

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Juan José Sánchez

José Sánchez Murillo

José Alvarez Sánchez

José Uriarte Sánchez

José Sánchez Meseguer

 

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Robust metric calibration of non-linear camera lens distortion., и . Pattern Recognit., 43 (4): 1688-1699 (2010)A new training strategy for spatial transform networks (STN's)., , , , и . Neural Comput. Appl., 34 (12): 10081-10092 (2022)Reducing Results Variance in Lifespan Machines: An Analysis of the Influence of Vibrotaxis on Wild-Type Caenorhabditis elegans for the Death Criterion., , и . Sensors, 20 (21): 5981 (2020)Skeletonizing Caenorhabditis elegans Based on U-Net Architectures Trained with a Multi-worm Low-Resolution Synthetic Dataset., , , и . Int. J. Comput. Vis., 131 (9): 2408-2424 (сентября 2023)Caenorhabditis Elegans Detection Using YOLOv5 and Faster R-CNN Networks., , , и . OL2A, том 1754 из Communications in Computer and Information Science, стр. 776-787. Springer, (2022)4-Dimensional deformation part model for pose estimation using Kalman filter constraints., , и . CoRR, (2024)Towards Lifespan Automation for Caenorhabditis elegans Based on Deep Learning: Analysing Convolutional and Recurrent Neural Networks for Dead or Live Classification., , , , и . Sensors, 21 (14): 4943 (2021)Uncertainty Analysis of Camera Parameters Computed with a 3D Pattern., и . ICIAP, том 3617 из Lecture Notes in Computer Science, стр. 204-211. Springer, (2005)Optimal conditions for camera calibration using a planar template., и . ICIP, стр. 853-856. IEEE, (2011)Improved Camera Calibration Method Based on a Two-Dimensional Template., и . IbPRIA (2), том 4478 из Lecture Notes in Computer Science, стр. 420-427. Springer, (2007)