Logo Medical Science Monitor

Call: +1.631.470.9640
Mon - Fri 10:00 am - 02:00 pm EST

Contact Us

Logo Medical Science Monitor Logo Medical Science Monitor Logo Medical Science Monitor

18 June 2020: Clinical Research

Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images

Xi Wei 1ACDEG* , Ming Gao 2BEF , Ruiguo Yu 3BCD , Zhiqiang Liu 3BCE , Qing Gu 4BC , Xun Liu 5BC , Zhiming Zheng 6BC , Xiangqian Zheng 2BC , Jialin Zhu 1ABCDEF* , Sheng Zhang 1BD

DOI: 10.12659/MSM.926096

Med Sci Monit 2020; 26:e926096

Table 2 Demographic data and image information for all patients from four medical centers.

Center 1Center 2Center 3Center 4
10993151460261
 Female (n)8379 (76.22%)117 (77.48%)369 (80.22%)197 (75.48%)
 Male (n)2614 (23.78%)34 (22.52%)91 (19.78%)64 (24.52%)
46 (18–84)49 (21–67)51 (18–73)52 (23–70)
 Left lobe5063 (46.06%)79 (52.31%)214 (46.52%)127 (48.66%)
 Right lobe5652 (51.41)70 (46.36%)228 (49.57%)128 (27.77%)
 Isthmus278 (2.53%)2 (1.32%)18 (3.91%)6 (2.61%)
1.25 (0.38–7.80)1.72 (0.58–6.25)1.53 (0.30–6.91)2.12 (0.49–7.21)
3996 (36.35%)82 (54.30%)213 (46.30%)153 (58.62%)
 Nodular goiter274571166127
 Adenomatous goiter551114526
 Thyroid granuloma518
 Follicular adenoma1822
6997 (63.65%)69 (45.70%)247 (53.70%)108 (41.38%)
 PTC691069246108
 MTC651
 FTC20
 ATC2
2350453014751032
 Benign9084289881502
 Malignant14420241594530
Philips EPIQ 5Philips IU22Philips EPIQ 7GE LOGIQ E9
Philips IU ElitePhilips IU22Mindray DC-8
Philips IU22Siemens Acuson Qxana 2Siemens Acuson S2000
Philips HD11Siemens Acuson S2000
TOSHIBA Aplio 500
TOSHIBA Aplio 400
PTC – papillary thyroid carcinoma; MTC – medullary thyroid carcinoma; FTC – follicular thyroid carcinoma; ATC – anaplastic thyroid carcinoma.

Your Privacy

We use cookies to ensure the functionality of our website, to personalize content and advertising, to provide social media features, and to analyze our traffic. If you allow us to do so, we also inform our social media, advertising and analysis partners about your use of our website, You can decise for yourself which categories you you want to deny or allow. Please note that based on your settings not all functionalities of the site are available. View our privacy policy.

Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750