Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks.
Victor Andrew A. AntonioNaoaki OnoAkira SaitoTetsuo SatoMd. Altaf-Ul-AminShigehiko KanayaPublished in: Int. J. Comput. Assist. Radiol. Surg. (2018)
Keyphrases
- high resolution computed tomography
- image classification
- image analysis
- image database
- image data
- classification accuracy
- three dimensional
- pattern recognition
- ground truth
- computed tomography images
- lung disease
- object recognition
- support vector
- feature extraction
- test images
- accurate classification
- input image
- preprocessing stage
- sparse coding
- accurate segmentation
- support vector machine
- edge detection
- machine learning
- image registration
- image features
- hyperspectral images
- region of interest
- social networks
- image set
- segmentation method
- sparse representation
- segmentation algorithm
- text classification
- decision trees
- feature vectors
- image retrieval