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Researchers develop AI model to automatically segment MRI images

Summary by Science Daily

Research scientists in Switzerland have developed and tested a robust AI model that automatically segments major anatomic structures in MRI images, independent of sequence. In the study, the model outperformed other publicly available tools.

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Nature

Leveraging transfer learning-driven convolutional neural network-based semantic segmentation model for medical image analysis using MRI images

Recognition and segmentation of brain tumours (BT) using MR images are valuable and tedious processes in the healthcare industry. Earlier diagnosis and localization of BT provide timely options to select effective treatment plans for the doctors and can save lives. BT segmentation from Magnetic Resonance Images (MRI) is considered a big challenge owing to the difficulty of BT tissues, and segmenting them from the healthier tissue is challenging …

5 days ago·United Kingdom

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Science Daily

Researchers develop AI model to automatically segment MRI images

5 days ago·United States

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healthimaging.com

Easy-to-use AI model effectively segments 80 structures on MRI

New data suggest the model outperforms publicly available segmentation algorithms.

5 days ago

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healthcare-in-europe.com

New AI tool to set new standards in MRI image segmentation

Research scientists in Switzerland have developed and tested a robust AI model that automatically segments major anatomic structures in MRI images, independent of sequence.

5 days ago

Read Full Article