A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation.
Max-Heinrich LavesJens BickerLüder A. KahrsTobias OrtmaierPublished in: CoRR (2018)
Keyphrases
- comparative study
- semantic segmentation
- endoscopic images
- pascal voc
- object detection
- superpixels
- object categories
- bag of words
- conditional random fields
- weakly supervised
- image set
- test images
- object recognition
- scene classification
- image processing
- object classes
- object segmentation
- object class
- region of interest
- brain tumors
- natural images
- image classification
- pairwise