A Novel Approach on Segmentation of AgNOR-Stained Cytology Images Using Deep Learning.
João Gustavo Atkinson AmorimLuiz Antonio Buschetto MacariniAndré Victória MatiasAllan CerentiniFabiana Botelho de Miranda OnofreAlexandre Sherlley Casimiro OnofreAldo von WangenheimPublished in: CBMS (2020)
Keyphrases
- deep learning
- microscopic images
- microscopy images
- segmentation method
- segmentation algorithm
- cell nuclei
- test images
- ground truth
- image database
- input image
- image retrieval
- image features
- image regions
- object recognition
- bounding box
- unsupervised learning
- image classification
- image processing
- unsupervised feature learning
- image annotation
- level set
- medical images
- multiple images
- region of interest
- active contours
- high resolution
- histological images
- multiscale