
A deep learning-based method is introduced for accurately identifying and segmenting neutral hydrogen (HI) sources from 3D spectral data cubes of the CRAFTS survey, achieving high recall (91.6%) and accuracy (95.7%).


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automated-identification-and-segmentation-of-neutral-hydrogen-hi-sources-in-the-crafts-survey-using-deep-learning


Automated Identification and Segmentation of Neutral Hydrogen (HI) Sources in the CRAFTS Survey Using Deep Learning
