Automated nuclear segmentation of coherent anti-stokes Raman scattering microscopy images by coupling superpixel context information with artificial neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7009 LNCS, Issue , 2011, Pages 317-325

  Hammoudi, Ahmad A ^a,b   Li, Fuhai ^a   Gao, Liang ^a,b   Wang, Zhiyong ^a   Thrall, Michael J ^c   Massoud, Yehia ^b   Wong, Stephen T C ^a,c  

^a WEILL CORNELL MEDICAL COLLEGE   (United States)

^b Rice University   (United States)

^c HOUSTON METHODIST HOSPITAL   (United States)

Author keywords

Artificial Neural Network (ANN); Coherent anti Stokes Raman scattering (CARS) microscopy; Nuclear segmentation; Superpixels

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AUTOMATED ANALYSIS; AUTOMATED APPROACH; CANCER DIAGNOSIS; CELL NUCLEUS; CELLULAR STRUCTURE; CLINICAL USE; COHERENT ANTI-STOKES RAMAN SCATTERING (CARS) MICROSCOPY; COHERENT ANTI-STOKES RAMAN SCATTERING MICROSCOPY; CONTEXT INFORMATION; DIFFERENTIAL DIAGNOSIS; EXPERIMENTAL VALIDATIONS; HIGH RESOLUTION; LABEL FREE; LARGE DATASETS; LOCAL CLUSTERING; LOW SIGNAL-TO-NOISE RATIO; LUNG CANCER; NUCLEAR SEGMENTATION; POSITION INFORMATION; REAL TIME; SEGMENTATION TECHNIQUES; SHAPE DESCRIPTORS; SUPERPIXELS;

AUTOMATION; BIOLOGICAL ORGANS; COMPUTER AIDED INSTRUCTION; COUPLINGS; DIAGNOSIS; DISEASES; IMAGE SEGMENTATION; LEARNING SYSTEMS; MEDICAL IMAGING; NEURAL NETWORKS; RAMAN SCATTERING; RAMAN SPECTROSCOPY; SEMANTICS; SIGNAL TO NOISE RATIO;

COHERENT SCATTERING;

EID: 80053945897     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24319-6_39     Document Type: Conference Paper

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