Cntseg: A multimodal deep-learning-based network for cranial nerves tract segmentation
The segmentation of cranial nerves (CNs) tracts based on diffusion magnetic resonance
imaging (dMRI) provides a valuable quantitative tool for the analysis of the morphology and …
imaging (dMRI) provides a valuable quantitative tool for the analysis of the morphology and …
CNN-based hierarchical coarse-to-fine segmentation of pelvic CT images for prostate cancer radiotherapy
Accurate segmentation of organs-at-risk is important in prostate cancer radiation therapy
planning. However, poor soft tissue contrast in CT makes the segmentation task very …
planning. However, poor soft tissue contrast in CT makes the segmentation task very …
Resnet-Unet-FSOA based cranial nerve segmentation and medial axis extraction using MRI images
A Vivekraj, S Sumathi - The Imaging Science Journal, 2023 - Taylor & Francis
This paper proposes a Resnet-UNet-Fractional Snake Optimization Algorithm (Res-UNet-
FSOA) for cranial nerve segmentation. Firstly, MRI images are considered as input, and …
FSOA) for cranial nerve segmentation. Firstly, MRI images are considered as input, and …
Statistical multi-level shape models for scalable modeling of multi-organ anatomies
Statistical shape modeling is an indispensable tool in the quantitative analysis of anatomies.
Particle-based shape modeling (PSM) is a state-of-the-art approach that enables the …
Particle-based shape modeling (PSM) is a state-of-the-art approach that enables the …