Segmentation of Lung Field in HRCT Images Using U-Net Based Fully Convolutional Networks.
Abhishek KumarSunita AgarwalaAshis Kumar DharaDebashis NandiSumitra Basu ThakurAshok Kumar BhadraAnup K. SadhuPublished in: MIUA (2018)
Keyphrases
- high resolution computed tomography
- image analysis
- accurate segmentation
- segmentation algorithm
- computed tomography images
- segmentation method
- test images
- adaptive thresholding
- edge detection
- segmented images
- input image
- pet ct
- automatic segmentation
- ground truth
- microscopic images
- three dimensional
- tubular structures
- fully automatic
- image data
- lung cancer
- pixel wise
- image regions
- chest radiographs
- segmentation accuracy
- segmentation errors
- automated segmentation
- image segmentation
- image segmentation algorithms
- image slices
- multiscale
- image features
- level set
- image classification
- image segments
- lung parenchyma
- pixel level
- image retrieval
- image registration
- medical images
- microscopy images
- region of interest
- intensity distribution
- multiple objects
- computer aided diagnosis
- medical imaging
- image database
- segmentation result
- object segmentation
- object recognition
- image processing
- low depth of field