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Prediction of Sequential Organelles Localization under Imbalance using A Balanced Deep U-Net.

Scientific reports
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...

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

Bioresource technology
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...