A review on ultrasound-based thyroid cancer tissue characterization and automated classification

Technology in Cancer Research and Treatment

Volumn 13, Issue 4, 2014, Pages 289-301

  Rajendra Acharya, U ^a,b   Swapna, G ^c   Vinitha Sree, S ^d   Molinari, Filippo ^e   Gupta, Savita ^f   Bardales, Ricardo H ^g   Witkowska, Agnieszka ^h   Suri, Jasjit S ^i,j,k  

^a DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^b UNIVERSITY OF MALAYA   (Malaysia)

^c Government Engineering College   (India)

^d Global Biomedical Technologies Inc   (United States)

^e POLITECNICO DI TORINO   (Italy)

^f PANJAB UNIVERSITY   (India)

^g Outpatient Pathology Associates   (United States)

^h MEDICAL UNIVERSITY OF SILESIA   (Poland)

ⁱ Global Biomedical Technologies   (United States)

^j AtheroPoint   (United States)

^k Nucl Eng Idaho State University   (United States)

more..

Author keywords

Computer aided diagnosis; Contrast enhanced ultrasound; High resolution ultrasound; Texture; Thyroid lesion

Indexed keywords

ARTICLE; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CLINICAL FEATURE; COMPUTER AIDED DESIGN; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC IMAGING; ECHOGRAPHY; ELASTOGRAPHY; FINE NEEDLE ASPIRATION BIOPSY; GOLD STANDARD; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; NUCLEAR MAGNETIC RESONANCE IMAGING; THYROID CANCER; TISSUE CHARACTERIZATION; COMPUTER ASSISTED DIAGNOSIS; PATHOLOGY; THYROID TUMOR;

BIOPSY, FINE-NEEDLE; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; THYROID NEOPLASMS;

EID: 84899840069     PISSN: 15330346     EISSN: None     Source Type: Journal    
DOI: 10.7785/tcrt.2012.500381     Document Type: Article

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