Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images.
Amol MavuduruMartin T. HalicekMaysam ShahediJames V. LittleAmy Y. ChenLarry L. MyersBaowei FeiPublished in: Medical Imaging: Digital Pathology (2020)
Keyphrases
- histological images
- cell nuclei
- segmentation algorithm
- nonrigid registration
- segmentation method
- microscopy images
- level set
- lymph nodes
- image segmentation
- image analysis
- scale space analysis
- cancer cells
- multiscale
- unsupervised segmentation
- cancer diagnosis
- textured images
- medical images
- facial expressions
- object recognition