A computational framework to detect normal and tuberculosis infected lung from H and E-stained whole slide images.
M. Khalid Khan NiaziGillian BeamerMetin N. GurcanPublished in: Medical Imaging: Digital Pathology (2017)
Keyphrases
- computational framework
- chest radiographs
- image analysis
- image database
- microscopic images
- ground truth
- image data
- image features
- input image
- image classification
- image retrieval
- computed tomography images
- computational model
- image collections
- test images
- accurate segmentation
- object recognition
- complex background
- tensor voting
- active vision
- microscopy images
- region of interest
- digital image analysis
- histological images
- high resolution computed tomography
- low contrast
- image processing
- detection method
- feature points
- three dimensional