Increasing CAD system efficacy for lung texture analysis using a convolutional network

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 9785, Issue , 2016, Pages

  Tarando, Sebastian Roberto ^a   Fetita, Catalin ^a,b   Faccinetto, Alex ^d   Brillet, Pierre Yves ^c,d  

^a INSTITUT NATIONAL DES TÉLÉCOMMUNICATIONS   (France)

^b UMR5157 (SAMOVAR)   (France)

^c UNIVERSITÉ PARIS 13   (France)

^d AVICENNE HOSPITAL   (France)

Author keywords

3D multi scale morphological analysis; Convolutional networks; Deep learning; Emphysema; Fibrosis; Ground glass; Infiltrative lung diseases; Lung texture classification

Indexed keywords

BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; CONVOLUTION; DIAGNOSIS; LINGUISTICS; MEDICAL IMAGING; MORPHOLOGY; PATHOLOGY;

CONVOLUTIONAL NETWORKS; DEEP LEARNING; EMPHYSEMA; FIBROSIS; GROUND GLASS; MORPHOLOGICAL ANALYSIS; TEXTURE CLASSIFICATION;

COMPUTER AIDED DIAGNOSIS;

EID: 84988844623     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2217752     Document Type: Conference Paper

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