In this paper, we propose a novel U-Net with fully connected residual blocks (FCRB U-Net) for the fetal cerebellum Ultrasound image segmentation task.

FCRB U-Net can effectively alleviate the problem of the loss of feature information during the convolution process and improve segmentation accuracy.

In this paper, we propose a novel U-Net with fully connected residual blocks (FCRB U-Net) for the fetal cerebellum Ultrasound image segmentation task.

In this paper, we propose a novel U-Net with fully connected residual blocks (FCRB U-Net) for the fetal cerebellum Ultrasound image segmentation task.

Jun 21, 2024 · Shu [5] et al. proposed a novel U-Net with fully connected residual blocks (FCRB U-Net) for the fetal cerebellum ultrasound image segmentation ...

Mar 15, 2023 · We investigate the applicability of U-Net based models for segmenting Urinary Bladder (UB) in male pelvic view UltraSound (US) images.

Jan 27, 2024 · Shu et al. [41] proposed a novel fully connected residual block-based FCRB U-Net for fetal cerebellum ultrasound image segmentation. It replaced ...

... U-Net in Microscopic Image Analysis: from ... FCRB U-Net: A novel fully connected residual block U-Net for fetal cerebellum ultrasound image segmentation.

Sep 1, 2024 · FCRB U-Net: A novel fully connected residual block U-Net for fetal cerebellum ultrasound image segmentation. Article. Jun 2022; COMPUT BIOL MED.