This work automates the segmentation of Focal Cortical Dysplasia (FCD) lesions from three-dimensional (3D) Magnetic Resonance (MR) images.
Sep 15, 2020 · In this work, we have focused on the segmentation of Focal Cortical Dysplasia (FCD) regions from MRI images.
Feb 25, 2021 · We developed a novel convolutional neural network for FCD detection and segmentation and validated it prospectively on daily-routine MRIs.
This work automates the segmentation of Focal Cortical Dysplasia (FCD) lesions from three-dimensional (3D) Magnetic Resonance (MR) images. FCD is a type of ...
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Sep 12, 2024 · In this study, we introduce a novel transformer-based model, designed for the end-to-end segmentation of FCD lesions from multi-channel MR images.
Aug 18, 2020 · The purpose of this study is to detect and segment histologically confirmed FCD lesions in images of normal fluid‐attenuated inversion recovery ...
Mar 13, 2024 · This pilot study confirmed that 3D full-resolution nnU-Net can automatically segment FCD lesions with reliable outcomes.
Sep 2, 2024 · Automatic detection and localization of focal cortical dysplasia lesions in MRI using fully convolutional neural network. Biomed. Signal ...
Sep 15, 2020 · This work has trained a novel hybrid skip connection-based FCN architecture from scratch for the detection of FCD from 3 T MRI 3D FLAIR ...
This review contributes to the body of knowledge by evaluating diverse methods employing 3D CNNs for MRI, CT, ultrasound, and other medical image segmentations.