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A novel artificial intelligence approach can generate 3D brain MRI images using semantic segmentation masks, offering a breakthrough in medical image synthesis and privacy protection.
Among them, magnetic resonance imaging (MRI) plays an important role in the diagnosis of brain tumors as a noninvasive and safe modality, providing clear and strong contrast.
Magnetic resonance imaging (MRI) has played an important role in the rapid growth of medical imaging diagnostic technology, especially in the diagnosis and treatment of brain tumors owing to its ...
Andrew’s machine learning model uses a block-based 3D U-Net architecture to make brain metastasis segmentation more precise, achieving higher Dice scores than current methods.
A multidisciplinary team has devised a new approach to 3D imaging that captures DNA methylation, a key epigenetic change associated with learning in the brain. The scientists say their proof-of ...
April 28, 2025 Coconut used in first 3D MRI image in the 1970s now lives in Old City Nobel Prize-winning chemist Paul Lauterbur used the fruit in his experiments. The Science History Institute ...
Image transformation Brain scan slices acquired with a portable, low-field Hyperfine MRI scanner (top row) and corresponding slices output by the LF-SynthSR algorithm (bottom row). The Hyperfine scan ...
Among them, magnetic resonance imaging (MRI) plays an important role in the diagnosis of brain tumors as a noninvasive and safe modality, providing clear and strong contrast.
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