Monai
PulseAugur coverage of Monai — every cluster mentioning Monai across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
AI lung cancer screening boosted by simulated CT scans
Researchers have developed a novel method using physics-based, anatomy-informed simulated CT scans to address the scarcity of annotated data in AI-based lung cancer screening. By creating digital human twins and simulat…
-
RadHarmony library simplifies AI integration for radiological data
A new open-source Python library called RadHarmony has been developed to streamline the process of handling diverse radiological datasets for deep learning applications. It offers a unified API for loading, harmonizing,…
-
MONAI and U-Net Enhance 3D Medical Image Segmentation
Researchers are leveraging MONAI and U-Net to advance 3D medical image segmentation. These tools are enabling more accurate and efficient end-to-end segmentation pipelines, as demonstrated by a recent tutorial focused o…
-
MONAI Tutorial: End-to-End 3D Spleen Segmentation with UNet
This tutorial demonstrates an end-to-end 3D medical image segmentation pipeline using the MONAI framework. It focuses on segmenting the spleen from CT volumes using a 3D UNet model. The process involves extensive medica…
-
New augmentation technique boosts medical image segmentation across CT and MRI
Researchers have developed a novel data augmentation technique to improve the cross-modality generalization of deep learning models for 3D spine segmentation in medical imaging. This approach significantly boosts perfor…