YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation
Weakly-supervised learning (WSL) has been proposed to alleviate the conflict between data
annotation cost and model performance through employing sparsely-grained (ie, point-, box …
annotation cost and model performance through employing sparsely-grained (ie, point-, box …
Modal-aware visual prompting for incomplete multi-modal brain tumor segmentation
In the realm of medical imaging, distinct magnetic resonance imaging (MRI) modalities can
provide complementary medical insights. However, it is not uncommon for one or more …
provide complementary medical insights. However, it is not uncommon for one or more …
Knowledge‐driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un‐supervised learning
Deep learning (DL) has emerged as a leading approach in accelerating MRI. It employs
deep neural networks to extract knowledge from available datasets and then applies the …
deep neural networks to extract knowledge from available datasets and then applies the …
Contrast‐enhanced MRI synthesis using dense‐dilated residual convolutions based 3D network toward elimination of gadolinium in neuro‐oncology
Recent studies have raised broad safety and health concerns about using of gadolinium
contrast agents during magnetic resonance imaging (MRI) to enhance identification of active …
contrast agents during magnetic resonance imaging (MRI) to enhance identification of active …
Diverse Data Generation for Retinal Layer Segmentation with Potential Structure Modelling
Accurate retinal layer segmentation on optical coherence tomography (OCT) images is
hampered by the challenges of collecting OCT images with diverse pathological …
hampered by the challenges of collecting OCT images with diverse pathological …
Synthetic MRI in action: A novel framework in data augmentation strategies for robust multi-modal brain tumor segmentation
Brain tumor diagnostics rely heavily on Magnetic Resonance Imaging (MRI) for accurate
diagnosis and treatment planning due to its non-invasive nature and detailed soft tissue …
diagnosis and treatment planning due to its non-invasive nature and detailed soft tissue …
OA-GAN: organ-aware generative adversarial network for synthesizing contrast-enhanced medical images
Y Yang, J Liu, G Zhan, Q Chen, F Wang… - Biomedical Physics …, 2024 - iopscience.iop.org
Contrast-enhanced computed tomography (CE-CT) images are vital for clinical diagnosis of
focal liver lesions (FLLs). However, the use of CE-CT images imposes a significant burden …
focal liver lesions (FLLs). However, the use of CE-CT images imposes a significant burden …