[HTML][HTML] Prognosis prediction in traumatic brain injury patients using machine learning algorithms
Predicting treatment outcomes in traumatic brain injury (TBI) patients is challenging
worldwide. The present study aimed to achieve the most accurate machine learning (ML) …
worldwide. The present study aimed to achieve the most accurate machine learning (ML) …
Parameter adaptive unit-linking pulse coupled neural network based MRI–PET/SPECT image fusion
Medical image fusion has many applications to healthcare that is accomplished by
extracting and then combining the complementary information from multiple medical images …
extracting and then combining the complementary information from multiple medical images …
Learning Deep MRI Reconstruction Models from Scratch in Low-Data Regimes
Magnetic resonance imaging (MRI) is an essential diagnostic tool that suffers from
prolonged scan times. Reconstruction methods can alleviate this limitation by recovering …
prolonged scan times. Reconstruction methods can alleviate this limitation by recovering …
PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images
Modern computer vision algorithms are based on convolutional neural networks (CNNs),
and both end-to-end learning and transfer learning modes have been used with CNN for …
and both end-to-end learning and transfer learning modes have been used with CNN for …