Handcrafted features with convolutional neural networks for detection of tumor cells in histology images.
Muhammad Nasim KashifShan-e-Ahmed RazaKorsuk SirinukunwattanaMuhammad ArifNasir M. RajpootPublished in: ISBI (2016)
Keyphrases
- image features
- cell segmentation
- test images
- original images
- detection rate
- texture and shape features
- convolutional neural networks
- image analysis
- gabor filters
- image data
- input image
- image classification
- cancer cells
- image retrieval
- spatial information
- extracted features
- image database
- keypoints
- automatically segmented
- feature space
- object recognition
- convolutional network
- tumor detection
- feature points
- complex background
- false positives
- image regions
- microscope images
- bounding box
- tumor growth
- microscopy images
- image set
- lymph nodes
- skin lesion
- sift descriptors
- object detectors
- edge detection
- feature vectors
- texture features
- color histogram
- feature selection