Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline With Stone-Embedding Augmentation and Lesion-Size Reweighting Approach.
Wongsakorn PreedananKenji SuzukiToshiaki KondoMasaki KobayashiHajime TanakaJunichiro IshiokaYoh MatsuokaYasuhisa FujiiItsuo KumazawaPublished in: IEEE Access (2023)
Keyphrases
- x ray images
- medical images
- x ray
- fracture detection
- lung nodules
- region of interest
- ct volume
- fully automatic
- automated segmentation
- medical imaging
- ct and mr images
- image segmentation
- ct images
- clinical data sets
- level set
- segmentation algorithm
- anatomical structures
- computer aided surgery
- ct data
- single view
- normalized cut
- magnetic resonance
- shape prior
- image analysis
- imaging modalities
- lesion segmentation
- computer tomography
- deformable models
- tomographic images
- chest radiographs
- face detection
- active shape model
- three dimensional
- computer vision