Automatic detection and morphological delineation of bacteriophages in electron microscopy images

Computers in Biology and Medicine

Volumn 64, Issue , 2015, Pages 101-116

  Gelzinis, A ^a   Verikas, A ^a,b   Vaiciukynas, E ^a   Bacauskiene, M ^a   Sulcius, S ^c,f   Simoliunas, E ^d   Staniulis, J ^e   Paskauskas, R ^c,g  

^a KAUNAS UNIVERSITY OF TECHNOLOGY   (Lithuania)

^b HALMSTAD UNIVERSITY   (Sweden)

^c KLAIPEDA UNIVERSITY   (Lithuania)

^d VILNIUS UNIVERSITY   (Lithuania)

^e Institute of Botany   (Lithuania)

^f Nature Research Centre   (Lithuania)

^g Nature Research Centre   (Lithuania)

Author keywords

Aphanizomenon flos aquae; Bacteriophage; Bland Altman; Cyanobacteria; Cyanophage; Electron microscopy; Open active contours; Pattern recognition; Random forest; Vb AphaS CL131

Indexed keywords

DECISION TREES; ELECTRON MICROSCOPES; ELECTRON MICROSCOPY; FEATURE EXTRACTION; GEOMETRY; HOUGH TRANSFORMS; IMAGE ENHANCEMENT; OBJECT DETECTION; PATTERN RECOGNITION;

ACTIVE CONTOURS; APHANIZOMENON FLOS-AQUAE; BLAND-ALTMAN; CYANOBACTERIA; CYANOPHAGES; RANDOM FORESTS; VB-APHAS- CL131;

BACTERIOPHAGES;

RADON;

APHANIZOMENON FLOS-AQUAE; ARTICLE; AUTOMATION; BACTERIOPHAGE; COMPUTER LANGUAGE; ELECTRON MICROSCOPY; IMAGE ENHANCEMENT; LYSIS; MEASUREMENT ACCURACY; NONHUMAN; PRIORITY JOURNAL; RANDOM FOREST; TAIL; VIRUS CAPSID; ALGORITHM; APHANIZOMENON; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; IMAGE PROCESSING; PROCEDURES; ULTRASTRUCTURE; VIROLOGY;

APHANIZOMENON FLOS-AQUAE; CYANOBACTERIA; MIRIDAE;

ALGORITHMS; APHANIZOMENON; BACTERIOPHAGES; CAPSID; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY, ELECTRON; PATTERN RECOGNITION, AUTOMATED;

EID: 84936882280     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2015.06.015     Document Type: Article

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