Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image.
Lucy NwosuXiangfang LiLijun QianSeungchan KimXishuang DongPublished in: CoRR (2022)
Keyphrases
- semantic segmentation
- deep learning
- x ray images
- weakly supervised
- x ray
- superpixels
- medical images
- multiscale
- input image
- conditional random fields
- image features
- bounding box
- image segmentation
- image content
- region of interest
- decision trees
- image set
- object class
- test images
- image classification
- image retrieval
- object classes
- object segmentation
- image representation
- machine learning
- image regions
- segmentation algorithm
- unsupervised learning
- natural images