Detecting overlapping instances in microscopy images using extremal region trees

Medical Image Analysis

Volumn 27, Issue , 2016, Pages 3-16

  Arteta, Carlos ^a   Lempitsky, Victor ^b   Noble, J Alison ^a   Zisserman, Andrew ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGY   (Russian Federation)

Author keywords

Cell detection; Microscopy image analysis; Overlapping object detection

Indexed keywords

CELLS; CYTOLOGY; DYNAMIC PROGRAMMING; FLUORESCENCE; FLUORESCENCE MICROSCOPY; FORESTRY; GLOBAL OPTIMIZATION; TREES (MATHEMATICS);

CELL DETECTION; DENSITY ESTIMATION; FLUORESCENCE MOLECULAR; HIGH CELL DENSITY; MICROSCOPY IMAGE ANALYSIS; MICROSCOPY IMAGES; OVERLAPPING REGIONS; PHASE-CONTRAST MICROSCOPY;

IMAGE ANALYSIS;

ARTICLE; ARTIFICIAL CELL; BLASTOCYST; CELL COUNT; CELL DENSITY; CELL NUCLEUS; FLUORESCENCE MICROSCOPY; HISTOPATHOLOGY; HUMAN; HUMAN CELL; IMAGE ANALYSIS; LYMPHOCYTE; MICROSCOPY; MOLECULAR IMAGING; PHASE CONTRAST MICROSCOPY; PRIORITY JOURNAL; ALGORITHM; ANIMAL; AUTOMATED PATTERN RECOGNITION; CELL TRACKING; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANIMALS; CELL COUNT; CELL TRACKING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MICROSCOPY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 84948090245     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2015.03.002     Document Type: Article

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