Differentiation of thyroid nodules on US using features learned and extracted from various convolutional neural networks
Thyroid nodules are a common clinical problem. Ultrasonography (US) is the main tool used to sensitively diagnose thyroid cancer. Although US is non-invasive and can accurately differentiate benign and malignant thyroid nodules, it is subjective and its results inevitably lack reproducibility. Therefore, to provide objective and reliable information for US assessment, we developed a CADx system that utilizes convolutional neural networks and the machine learning technique. The diagnostic performances of 6 radiologists and 3 representative results obtained from the proposed CADx system were compared and analyzed.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2019 |
|---|---|
| Erschienen: |
2019 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:9 |
|---|---|
| Enthalten in: |
Scientific reports - 9(2019), 1 vom: 27. Dez., Seite 19854 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Lee, Eunjung [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Completed 09.11.2020 Date Revised 10.01.2021 published: Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1038/s41598-019-56395-x |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM30482691X |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM30482691X | ||
| 003 | DE-627 | ||
| 005 | 20231226200940.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2019 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1038/s41598-019-56395-x |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1016.xml |
| 035 | |a (DE-627)NLM30482691X | ||
| 035 | |a (NLM)31882683 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Lee, Eunjung |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Differentiation of thyroid nodules on US using features learned and extracted from various convolutional neural networks |
| 264 | 1 | |c 2019 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 09.11.2020 | ||
| 500 | |a Date Revised 10.01.2021 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Thyroid nodules are a common clinical problem. Ultrasonography (US) is the main tool used to sensitively diagnose thyroid cancer. Although US is non-invasive and can accurately differentiate benign and malignant thyroid nodules, it is subjective and its results inevitably lack reproducibility. Therefore, to provide objective and reliable information for US assessment, we developed a CADx system that utilizes convolutional neural networks and the machine learning technique. The diagnostic performances of 6 radiologists and 3 representative results obtained from the proposed CADx system were compared and analyzed | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 700 | 1 | |a Ha, Heonkyu |e verfasserin |4 aut | |
| 700 | 1 | |a Kim, Hye Jung |e verfasserin |4 aut | |
| 700 | 1 | |a Moon, Hee Jung |e verfasserin |4 aut | |
| 700 | 1 | |a Byon, Jung Hee |e verfasserin |4 aut | |
| 700 | 1 | |a Huh, Sun |e verfasserin |4 aut | |
| 700 | 1 | |a Son, Jinwoo |e verfasserin |4 aut | |
| 700 | 1 | |a Yoon, Jiyoung |e verfasserin |4 aut | |
| 700 | 1 | |a Han, Kyunghwa |e verfasserin |4 aut | |
| 700 | 1 | |a Kwak, Jin Young |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Scientific reports |d 2011 |g 9(2019), 1 vom: 27. Dez., Seite 19854 |w (DE-627)NLM215703936 |x 2045-2322 |7 nnns |
| 773 | 1 | 8 | |g volume:9 |g year:2019 |g number:1 |g day:27 |g month:12 |g pages:19854 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1038/s41598-019-56395-x |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 9 |j 2019 |e 1 |b 27 |c 12 |h 19854 | ||