MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.
Ruchika VermaNeeraj KumarAbhijeet PatilNikhil Cherian KurianSwapnil RaneSimon GrahamQuoc Dang VuMieke ZwagerShan-e-Ahmed RazaNasir M. RajpootXiyi WuHuai ChenYijie HuangLisheng WangHyun JungG. Thomas BrownYanling LiuShuolin LiuSeyed Alireza Fatemi JahromiAli Asghar KhaniEhsan MontahaeiMahdieh Soleymani BaghshahHamid BehrooziPavel SemkinAlexandr RassadinPrasad DutandeRomil LodayaUjjwal BaidBhakti BahetiSanjay N. TalbarAmirreza MahbodRupert EckerIsabella EllingerZhipeng LuoBin DongZhengyu XuYuehan YaoShuai LvMing FengKele XuHasib ZunairAbdessamad Ben HamzaSteven M. SmileyTang-Kai YinQi-Rui FangShikhar SrivastavaDwarikanath MahapatraLubomira TrnavskaHanyun ZhangPriya Lakshmi NarayananJustin LawYinyin YuanAbhiroop TejomayAditya MitkariDinesh KokaVikas RamachandraLata KiniAmit SethiPublished in: IEEE Trans. Medical Imaging (2021)
Keyphrases
- medical images
- classification accuracy
- microscopic images
- features extraction
- automatic classification
- segmentation method
- microscopy images
- machine learning
- pattern recognition
- multiscale
- image segmentation
- support vector
- pixel classification
- support vector machine
- support vector machine svm
- feature extraction
- classification algorithm
- fully automatic
- statistical classification
- lung disease
- pigmented skin lesions
- classification method
- image classification
- anatomical structures
- cell nuclei
- segmentation algorithm
- decision trees
- feature selection