Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning ...

Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning!

Over the past decade, conventional deep learning models, especially convolutional neural networks (CNNs), have achieved substantial advancements across various research areas, such as bioinformatics, ...