AIMC Topic: Rhodophyta

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Investigating quantitative approach for microalgal biomass using deep convolutional neural networks and image recognition.

Bioresource technology May 24, 2024
The effective monitoring of microalgae cultivation is crucial for optimizing their energy utilization efficiency. In this paper, a quantitative analysis method, using microalgae images based on two convolutional neural networks, EfficientNet (EFF) an...
Neural Networks, Computer Algorithms Biomass Image Processing, Computer-Assisted Spirulina Microalgae Rhodophyta
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Prediction of Sequential Organelles Localization under Imbalance using A Balanced Deep U-Net.

Scientific reports Feb 14, 2020
Assessing the structure and function of organelles in living organisms of the primitive unicellular red algae Cyanidioschyzon merolae on three-dimensional sequential images demands a reliable automated technique in the class imbalance among various c...
Neural Networks, Computer Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted Microscopy, Electron, Scanning Mitosis Organelles Rhodophyta
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Automated cell structure extraction for 3D electron microscopy by deep learning.

Scientific reports May 20, 2025
Modeling the 3D structures of cells and tissues is crucial in biology. Sequential cross-sectional images from electron microscopy provide high-resolution intracellular structure information. The segmentation of complex cell structures remains a labor...
Algorithms Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Microscopy, Electron, Scanning Microscopy, Electron Rhodophyta
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