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PECI-Net: Bolus segmentation from video fluoroscopic swallowing study
  images using preprocessing ensemble and cascaded inference

PECI-Net: Bolus segmentation from video fluoroscopic swallowing study images using preprocessing ensemble and cascaded inference

21 March 2024
Dougho Park
Younghun Kim
Harim Kang
Junmyeoung Lee
Jinyoung Choi
Taeyeon Kim
Sangeok Lee
Seokil Son
Minsol Kim
Injung Kim
ArXivPDFHTML

Papers citing "PECI-Net: Bolus segmentation from video fluoroscopic swallowing study images using preprocessing ensemble and cascaded inference"

3 / 3 papers shown
Title
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS
  Instance Segmentation
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation
Cheng Zeng
Xinyu Yang
D. Smithard
Majid Mirmehdi
A. Gambaruto
T. Burghardt
ViT
18
5
0
22 Feb 2023
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,645
0
02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
336
75,888
0
18 May 2015
1