Computer‐aided diagnosis for classifying benign versus malignant thyroid nodules based on ultrasound images: A comparison with radiologist‐based assessments

Purpose: To develop a semiautomated computer‐aided diagnosis (cad) system for thyroid cancer using two‐dimensional ultrasound images that can be used to yield a second opinion in the clinic to differentiate malignant and benign lesions. Methods: A total of 118 ultrasound images that included axial a...

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Veröffentlicht in:	Medical physics (Lancaster) 2016-01, Vol.43 (1), p.554-567
Hauptverfasser:	Chang, Yongjun, Paul, Anjan Kumar, Kim, Namkug, Baek, Jung Hwan, Choi, Young Jun, Ha, Eun Ju, Lee, Kang Dae, Lee, Hyoung Shin, Shin, DaeSeock, Kim, Nakyoung
Format:	Artikel
Sprache:	eng
Schlagworte:	ACCURACY Anisotropy AXIAL RATIO Biological material, e.g. blood, urine Haemocytometers BIOMEDICAL RADIOGRAPHY biomedical ultrasonics BIOPSY Cancer COMPUTERS computer‐aided diagnosis DIAGNOSIS Diagnosis using ultrasonic, sonic or infrasonic waves Diagnosis, Computer-Assisted Diagnosis, Differential Digital computing or data processing equipment or methods, specially adapted for specific applications feature extraction feature selection Flow visualization Humans image classification Image data processing or generation, in general Image Processing, Computer-Assisted - methods image segmentation In which a programme is changed according to experience gained by the computer itself during a complete run Learning machines Inference methods or devices Medical diagnosis with acoustics Medical image noise medical image processing Medical image segmentation MULTIVARIATE ANALYSIS NEOPLASMS Optical inspection RADIATION PROTECTION AND DOSIMETRY Radiologists Radiology RADIOLOGY AND NUCLEAR MEDICINE ROC Curve Signal-To-Noise Ratio support vector machines SVM classifier textural features THYROID thyroid cancer Thyroid Nodule - diagnostic imaging TWO-DIMENSIONAL SYSTEMS Ultrasonography VALIDATION
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