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Recognizing signs of malignancy: The quest for computer assisted cancer screening and diagnosis systems
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
2010 (engelsk)Inngår i: International Conference on Computational Intelligence and Computing Research (ICCIC), 2010 IEEE, Coimbatore, India: IEEE Digital Library , 2010, s. 1-6Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Almost all cancers are diagnosed through visual examination of microscopic tissue samples. Visual screening of cell samples, so called PAP-smears, has drastically reduced the incidence of cervical cancers in countries that have implemented population wide screening programs. But the visual examination is tedious, subjective and expensive. There has therefore been much research aiming for computer assisted or automated cell image analysis systems for cancer detection and diagnosis. Progress has been made but still most of cytology and pathology is done visually. In this presentation I will discuss some of the major issues involved, examine some of the proposed solutions and give some comments about the state of the art.

sted, utgiver, år, opplag, sider
Coimbatore, India: IEEE Digital Library , 2010. s. 1-6
Emneord [en]
Cervical cancer, PAP-smears, automated microscopy, image analysis, screening
HSV kategori
Forskningsprogram
Datoriserad bildbehandling
Identifikatorer
URN: urn:nbn:se:uu:diva-147863ISBN: 978-1-4244-5965-0 (tryckt)OAI: oai:DiVA.org:uu-147863DiVA, id: diva2:401015
Tilgjengelig fra: 2011-03-01 Laget: 2011-03-01 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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