Automatic Annotation of Leishmania Infections in Fluorescence Microscopy Images

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Joao C Neves (Author) Other; Helena Castro (Author) Other; Hugo Proenca (Author) Other; Miguel Coimbra (Author) FCUP

Conference proceedings International

Title: IMAGE ANALYSIS AND RECOGNITION

Pages: 613-620

10th International Conference on Image Analysis and Recognition (ICIAR)

Pvoa do Varzim, PORTUGAL, JUN 26-28, 2013

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 2 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-008-EAG

DOI: 10.1007/978-3-642-39094-4_70

Abstract (EN): Leishmania is a unicellular parasite that infects mammals. Biologists are interested in determining the effect of drugs in Leishmania infections. This requires the manual annotation of the number of macrophages and parasites in images, in order to obtain the percentage of infection (PI), the average number of parasites per infected cell (NPI) and the infection index (IX). Considering that manual annotation is tedious, time-consuming and often erroneous, in this paper we propose an automatic method for automatic annotation of Leishmania infections using fluorescence microscopy. Moreover, when compared to related works, the proposed method is able to get superior performance under most perspectives.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8