Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis.
Jakub GrzeszczykMichal KarwatowskiDaria LukasikMaciej WielgoszPawel RussekSzymon MazurekJakub CaputaRafal FraczekAnna SmiechErnest JamroSebastian KoryciakAgnieszka Dabrowska-BoruchMarcin PietronKazimierz WiatrPublished in: CoRR (2023)
Keyphrases
- segmentation algorithm
- image analysis
- segmentation method
- test images
- accurate segmentation
- image data
- microscopic images
- skin lesion
- brain tumors
- fully automatic
- cell nuclei
- segmentation errors
- edge detection
- input image
- image regions
- automatic segmentation
- image database
- ground truth
- grey level
- lymph nodes
- segmented images
- image features
- image slices
- pigmented skin lesions
- segmentation accuracy
- quantitative evaluation
- adaptive thresholding
- pixel level
- image registration
- multiscale
- tubular structures
- low depth of field
- automatically segmented
- automated segmentation
- pixel wise
- cancer diagnosis
- image retrieval
- image segmentation
- microscopy images
- low grade gliomas
- image segments
- shape prior
- region growing
- high resolution computed tomography
- level set
- breast cancer detection
- region of interest
- medical images
- skin cancer
- magnetic resonance
- watershed transform