A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images
Sign Up to like & getrecommendations! Published in 2018 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2018.05.034
Abstract: BACKGROUND AND OBJECTIVE Early diagnosis and classification of a cancer type can help facilitate the subsequent clinical management of the patient. Cervical cancer ranks as the fourth most prevalent cancer affecting women worldwide and its… read more here.
Keywords: classification; machine learning; cervical cancer; smear images ... See more keywords
Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images
Sign Up to like & getrecommendations! Published in 2017 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2016.2606380
Abstract: Accurate segmentation of cervical cells in Pap smear images is an important step in automatic pre-cancer identification in the uterine cervix. One of the major segmentation challenges is overlapping of cytoplasm, which has not been… read more here.
Keywords: segmentation; smear images; accurate cervical; pap smear ... See more keywords
Robust Image Processing Framework for Intelligent Multi-Stage Malaria Parasite Recognition of Thick and Thin Smear Images
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13030511
Abstract: Malaria is a pressing medical issue in tropical and subtropical regions. Currently, the manual microscopic examination remains the gold standard malaria diagnosis method. Nevertheless, this procedure required highly skilled lab technicians to prepare and examine… read more here.
Keywords: smear images; malaria parasite; multi stage; framework ... See more keywords