Facebook today announced that it trained an AI model to build speech recognition systems that don’t require transcribed data. The company, which trained systems for Swahili, Tatar, Kyrgyz, and ...

Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using ...

Researchers from Peking University have introduced a new semi-supervised learning framework that integrates various techniques to enhance MRI segmentation by leveraging unlabeled data. This ...

Home Code Python Delivers Big On Complex Unlabeled Data April 15, 2020 Rob Farber Code , HPC 0 A collaboration of researchers from the University of California Davis, the National Energy Research ...

Our framework harnesses the synergy of different semi-supervised learning strategies, optimizing the use of unlabeled data to improve MRI segmentation accuracy.

Citation: Researchers develop collaborative framework using unlabeled data for enhanced semi-supervised MRI segmentation (2024, October 28) retrieved 19 April 2025 from https://medicalxpress.com ...