Impact of various loss combinations for cervical cell segmentation on the C-UNet.
dataset
posted on 2023-10-03, 17:33 authored by Assad Rasheed, Syed Hamad Shirazi, Arif Iqbal Umar, Muhammad Shahzad, Waqas Yousaf, Zakir KhanImpact of various loss combinations for cervical cell segmentation on the C-UNet.
History
Usage metrics
Categories
Keywords
wide context unitmedical image analysise ., cgan32 %, pixelproduce segmentation maskssegment cervical nucleinotorious challenges duedeep learning modelclassic unet architecture93 %, pixel56 %, objectemployed dataset useddeep learning12 %,nucleus segmentationunet achievedunet ),two interstandout performancemutually optimizelevel recalllevel accuracylearn spatialinternational symposiumimproved networkgained attentionextensively evaluatedexperimental resultsconnected decoderscolor variationclumped cellscervical cytologyautomated delineationaided diagnosis2015 datasets
Licence
Exports
RefWorksRefWorks
BibTeXBibTeX
Ref. managerRef. manager
EndnoteEndnote
DataCiteDataCite
NLMNLM
DCDC