Rubber trees are a critical industrial crop that supplies natural rubber to countless sectors, from automotive manufacturing to healthcare. Monitoring their growth and health requires accurate ...

This is my "open-box" version if I want to modify the parameters for some particular task, while the two above are hard-coded. The monai 0.5.0 folder contains the previous versions based on the old ...

A library of open datasets for data analytics/machine learning compiled by HackerNoon. The two most widely-used open-source machine learning frameworks for training and building deep learning models ...

To automate bone marrow segmentation within pelvic bones in quantitative fat MRI of myelofibrosis (MF) patients using deep-learning (DL) U-Net models. Automated segmentation of bone marrow (BM) was ...

According to the statistics of the World Health Organization, there were 19.29 million new cancer cases worldwide in 2020, among which 4.57 million cases were in China, accounting for 23.7% of the ...

Volume Segmantics provides a simple command-line interface and API that allows researchers to quickly train a variety of 2D PyTorch segmentation models (e.g. U-Net, U-Net++, FPN, DeepLabV3+) on their ...

Quantitative analysis of plant and animal morphogenesis requires accurate segmentation of individual cells in volumetric images of growing organs. In the last years, deep learning has provided robust ...