Supervoxel based weakly-supervised multi-level 3D CNNs for lung nodule detection and segmentation.
Yuanli FengPengyi HaoPeng ZhangXinguo LiuFuli WuHongwei WangPublished in: J. Ambient Intell. Humaniz. Comput. (2023)
Keyphrases
- nodule detection
- weakly supervised
- lung nodules
- vessel enhancement
- superpixels
- ct images
- low dose
- vessel segmentation
- segmentation algorithm
- partial volume
- object class
- computer aided diagnosis
- relation extraction
- segmentation method
- semi supervised
- multiscale
- medical images
- lung cancer
- object segmentation
- x ray images
- level set
- topic models
- image segmentation
- pulmonary nodules
- ct scans
- volumetric data
- shape prior
- accurate segmentation
- computer vision
- machine learning
- multiple objects
- three dimensional
- object recognition
- medical imaging
- named entities
- x ray
- computed tomography
- object detection
- dimensionality reduction
- pairwise
- color images
- cad systems
- input image
- energy function
- breast cancer
- region growing
- bounding box