ASO Visual Abstract: Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography
Saved in:
Published in | Annals of surgical oncology Vol. 29; no. 12; pp. 7483 - 7484 |
---|---|
Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
01.11.2022
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Author | Antonoff, Mara B. Chen, Chung-Ming Hsieh, Min-Shu Chuang, Ching-Chia Lin, Mong-Wei Yang, Shun-Mao Chen, Yi-Chang Pan, Tinsu Chen, Li-Wei Wang, Hao-Jen Chang, Yeun-Chung Wu, Carol C. |
---|---|
Author_xml | – sequence: 1 givenname: Li-Wei surname: Chen fullname: Chen, Li-Wei organization: Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center – sequence: 2 givenname: Shun-Mao surname: Yang fullname: Yang, Shun-Mao organization: Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Department of Surgery, National Taiwan University Hospital Biomedical Park Hospital – sequence: 3 givenname: Ching-Chia surname: Chuang fullname: Chuang, Ching-Chia organization: Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University – sequence: 4 givenname: Hao-Jen surname: Wang fullname: Wang, Hao-Jen organization: Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University – sequence: 5 givenname: Yi-Chang surname: Chen fullname: Chen, Yi-Chang organization: Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine – sequence: 6 givenname: Mong-Wei surname: Lin fullname: Lin, Mong-Wei organization: Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine – sequence: 7 givenname: Min-Shu surname: Hsieh fullname: Hsieh, Min-Shu organization: Department of Pathology, National Taiwan University Hospital and National Taiwan University College of Medicine – sequence: 8 givenname: Mara B. surname: Antonoff fullname: Antonoff, Mara B. organization: Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center – sequence: 9 givenname: Yeun-Chung surname: Chang fullname: Chang, Yeun-Chung organization: Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine – sequence: 10 givenname: Carol C. surname: Wu fullname: Wu, Carol C. organization: Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center – sequence: 11 givenname: Tinsu surname: Pan fullname: Pan, Tinsu email: TPan@mdanderson.org organization: Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center – sequence: 12 givenname: Chung-Ming surname: Chen fullname: Chen, Chung-Ming email: chung@ntu.edu.tw organization: Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University |
BookMark | eNp9Uctq3DAUFSWBJml-oCtB1271sGRPd2batIUJCeSxFXpcTxU8kivJkHxTf7JqPNBdV_dyOA8O5xydhBgAofeUfKSsFZ8yJS1vG8JYQxnrePP8Bp1RUaFW9vSk_kT2zYZJ8Rad5_xECO04EWfo93B3gx99XvSEB5NL0rZ8xndx8g4PpUBYdPEx4G08zDUylLzCr-AXgBnvQKfgwx5fRwcTLhHfJnDeFnztbYqznv006fSCdXBH41tdLVLI2Ae8W6p0cBCi1cn6EA8642PgUsDh-3iI-6Tnny_v0OmopwyXx3uBHq6-3m-_N7ubbz-2w66xrCOl6bnZMANgeM9hlGY0dnRuI03bt1pYkLYDK6jrmbNStp3UxHTUCGed2bRO8Av0YfWdU_y1QC7qKS4p1EjFOsZZzwSXlcVWVi2Zc4JRzckfalFFifo7ilpHUXUU9TqKeq4ivopyJYc9pH_W_1H9AV-ClmY |
ContentType | Journal Article |
Copyright | Society of Surgical Oncology 2022 Society of Surgical Oncology 2022. |
Copyright_xml | – notice: Society of Surgical Oncology 2022 – notice: Society of Surgical Oncology 2022. |
DBID | AAYXX CITATION 3V. 7TO 7X7 7XB 88E 8AO 8FI 8FJ 8FK ABUWG AFKRA BENPR CCPQU FYUFA GHDGH H94 K9. M0S M1P PQEST PQQKQ PQUKI |
DOI | 10.1245/s10434-022-12273-x |
DatabaseName | CrossRef ProQuest Central (Corporate) Oncogenes and Growth Factors Abstracts Health & Medical Collection (Proquest) ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Pharma Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central AUTh Library subscriptions: ProQuest Central ProQuest One Community College Health Research Premium Collection Health Research Premium Collection (Alumni) AIDS and Cancer Research Abstracts ProQuest Health & Medical Complete (Alumni) Health & Medical Collection (Alumni Edition) PML(ProQuest Medical Library) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition |
DatabaseTitle | CrossRef Oncogenes and Growth Factors Abstracts ProQuest One Academic Eastern Edition ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Pharma Collection ProQuest Hospital Collection (Alumni) ProQuest Central ProQuest Health & Medical Complete Health Research Premium Collection ProQuest Medical Library ProQuest One Academic UKI Edition Health and Medicine Complete (Alumni Edition) AIDS and Cancer Research Abstracts ProQuest One Academic ProQuest Medical Library (Alumni) ProQuest Central (Alumni) |
Database_xml | – sequence: 1 dbid: 7X7 name: Health & Medical Collection (Proquest) url: https://search.proquest.com/healthcomplete sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 1534-4681 |
EndPage | 7484 |
ExternalDocumentID | 10_1245_s10434_022_12273_x |
GroupedDBID | --- -53 -5E -5G -BR -EM -Y2 -~C .86 .VR 06C 06D 0R~ 0VY 199 1N0 1SB 203 23M 28- 29~ 2J2 2JN 2JY 2KG 2KM 2LR 2P1 2VQ 2WC 2~H 30V 3V. 4.4 406 408 409 40D 40E 53G 5GY 5QI 5VS 67Z 6J9 6NX 78A 7X7 88E 8AO 8FI 8FJ 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AABYN AAFGU AAHNG AAIAL AAJKR AAKSU AANXM AANZL AAPBV AARHV AARTL AATNV AATVU AAUYE AAWCG AAYFA AAYIU AAYQN AAYTO ABBBX ABBXA ABDZT ABECU ABFGW ABFTV ABHLI ABHQN ABIPD ABJNI ABJOX ABKAS ABKCH ABKTR ABMNI ABMQK ABNWP ABOCM ABPLI ABQBU ABSXP ABTEG ABTKH ABTMW ABULA ABUWG ABUWZ ABWNU ABXPI ACBMV ACBRV ACBXY ACBYP ACGFO ACGFS ACHSB ACHVE ACHXU ACIGE ACIHN ACIPQ ACKNC ACMDZ ACMLO ACOKC ACOMO ACPRK ACREN ACTTH ACUDM ACVWB ACWMK ADBBV ADHHG ADHIR ADIMF ADINQ ADJJI ADKNI ADKPE ADMDM ADOXG ADRFC ADTPH ADURQ ADYFF ADYOE ADZKW AEAQA AEBTG AEEQQ AEFIE AEFTE AEGAL AEGNC AEJHL AEJRE AEKMD AENEX AEOHA AEPYU AESKC AESTI AETLH AEVLU AEVTX AEXYK AFAFS AFEXP AFJLC AFKRA AFLOW AFNRJ AFQWF AFWTZ AFYQB AFZKB AGAYW AGDGC AGGBP AGGDS AGJBK AGKHE AGMZJ AGQMX AGWIL AGWZB AGYKE AHAVH AHBYD AHIZS AHKAY AHMBA AHSBF AHYZX AIAKS AIIXL AILAN AIMYW AITGF AJBLW AJDOV AJRNO AJZVZ AKMHD AKQUC ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMTXH AMXSW AMYLF AMYQR AOCGG ARMRJ ASPBG AVWKF AXYYD AZFZN B-. BA0 BAWUL BBWZM BDATZ BENPR BGNMA BPHCQ BVXVI C1A CAG CCPQU COF CS3 CSCUP DDRTE DIK DL5 DNIVK DPUIP E3Z EBD EBLON EBS EIOEI EJD EMOBN EN4 ESBYG F5P FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC FYUFA G-Y G-Z GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 GQ8 GRRUI GX1 GXS HEOXT HF~ HG5 HG6 HMCUK HMJXF HQYDN HRMNR HVGLF HZ~ I09 IH2 IHE IJ- IKXTQ IMOTQ IWAJR IXC IXD IXE IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ KDC KOV KOW KPH L7B LAS LLZTM M1P M4Y MA- N2Q N9A NB0 NDZJH NPVJJ NQJWS NU0 O9- O93 O9G O9I O9J OAM OVD OWW P19 P2P P9S PF0 PQQKQ PROAC PSQYO PT4 PT5 Q2X QOK QOR QOS R4E R89 R9I RHV RNI ROL RPX RRX RSV RZK S16 S1Z S26 S27 S28 S37 S3B SAP SCLPG SDE SDH SDM SHX SISQX SJYHP SMD SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW SSXJD STPWE SV3 SZ9 SZN T13 T16 TEORI TSG TSK TSV TT1 TUC U2A U9L UG4 UKHRP UNUBA UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WJK WK8 WOQ YFH YLTOR Z45 Z5O Z7U Z7V Z7W Z7X Z81 Z82 Z83 Z87 Z8O Z8V Z91 ZMTXR ZOVNA AACDK AAEOY AAJBT AASML AAYXX ABAKF ACAOD ACDTI ACZOJ AEFQL AEMSY AFBBN AGQEE AGRTI AIGIU AJOOF ALIPV CITATION H13 7TO 7XB 8FK H94 K9. PQEST PQUKI |
ID | FETCH-LOGICAL-c270t-83b92beeb383ef6bfbcfdd96b484a5ce6c7ec51d82dc66476a0b71b5dcdb94d53 |
IEDL.DBID | AGYKE |
ISSN | 1068-9265 |
IngestDate | Thu Oct 10 15:35:48 EDT 2024 Thu Sep 12 16:41:38 EDT 2024 Sat Dec 16 12:07:03 EST 2023 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 12 |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c270t-83b92beeb383ef6bfbcfdd96b484a5ce6c7ec51d82dc66476a0b71b5dcdb94d53 |
PQID | 2723282536 |
PQPubID | 32486 |
PageCount | 2 |
ParticipantIDs | proquest_journals_2723282536 crossref_primary_10_1245_s10434_022_12273_x springer_journals_10_1245_s10434_022_12273_x |
PublicationCentury | 2000 |
PublicationDate | 2022-11-01 |
PublicationDateYYYYMMDD | 2022-11-01 |
PublicationDate_xml | – month: 11 year: 2022 text: 2022-11-01 day: 01 |
PublicationDecade | 2020 |
PublicationPlace | Cham |
PublicationPlace_xml | – name: Cham – name: New York |
PublicationTitle | Annals of surgical oncology |
PublicationTitleAbbrev | Ann Surg Oncol |
PublicationYear | 2022 |
Publisher | Springer International Publishing Springer Nature B.V |
Publisher_xml | – name: Springer International Publishing – name: Springer Nature B.V |
SSID | ssj0017305 |
Score | 2.4351716 |
SourceID | proquest crossref springer |
SourceType | Aggregation Database Publisher |
StartPage | 7483 |
SubjectTerms | ASO Visual Abstract Computed tomography Deep learning Lung cancer Medicine Medicine & Public Health Oncology Surgery Surgical Oncology |
SummonAdditionalLinks | – databaseName: AUTh Library subscriptions: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lj9MwELbYVkJ7QTxF2YLmwA0iGsdxkr2sstCqQrRUtEV7i-JHVpVKEtpU6v4m_uSOHYcKJLg60eTxjeftGULeUl_7AjWppyPFPKYC3HOxYCgM81GidRQHtmX-bM6na_b5JrxxAbe9K6vsZKIV1KqSJkb-gUao-9GdCfhV_dMzU6NMdtWN0DgjfYqewqhH-tfj-eLb7zwC8m9o850ctzXloTs2Q1loDs-xgHmmmt2nqMS945-q6WRv_pUitZpn8pg8ciYjpC3GT8gDXT4lD2cuKf6M_EqXX-H7Zn8wNwkTupDNJSyr7UZB2qBN3HbzBrP1q9IUTrTLdvGT1jW4Jqu3YCajbaGpYLEz5BuYmXq9Oq_NbKLdHeSlcoQXti9nuYdNCV9QYECKAgz14g7fyZQcgXvgAS1aWFU_XGfs52Q9Ga8-Tj03g8GTNBo1XhyIhAqNLncc6IKLQshCqYQLFrM8lJrLSMvQVzFVknMW8XwkIkRfSSUSpsLgBemV-G0vCWgkwRO_EL51ynkiiwTvzlGEsJAJOiDvut-f1W2rjcy4KAhW1oKVIViZBSs7DsiwQyhz226fnZhkQN53qJ0u_5vaq_9TuyDn1DKKCb0MSa_ZHfRrNEYa8cZx3D3aqd67 priority: 102 providerName: ProQuest |
Title | ASO Visual Abstract: Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography |
URI | https://link.springer.com/article/10.1245/s10434-022-12273-x https://www.proquest.com/docview/2723282536 |
Volume | 29 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dT9swELc2kNBe2Acgyhi6B95YUOM4dsJbtpWhQVkFLeqeovgjUzVIqzaVtv1L-yd3dpxVG-OBp0iOdYnt83347n4m5JCGJpSoSQMjNAuYjnDPJZKhMCy6qTEiiRxkfv-Sn43Yp3E8XtVxu2T3NiLpBLUDQGCxrXVjEQts8nlIUecGaDiu-8LT9ezjl_Pen-ABMm3sgpwc9zLlsa-V-T-Vv_XRysj8Jy7q1M3pczJsi3aaLJNvx8taHquf9zEcHzOSF2TTm5-QNfzykjwx1Suy0fcB9i3yK7v-DDeTxdJ2kvYYRNUncD29nWjIarSvG2RwsGJkWtkkjKbZNX4wZgYesPUr2FvWbqGewmBuydfQt7l_s2Jm7zma_4Ci0p7wwGF8VguYVHCBwgcyFIaoY-f4TzZ9CfwHl2gdw3B651G2t8notDd8fxb4-xwCRUW3DpJIplQadN-TyJRcllKVWqdcsoQVsTJcCaPiUCdUK86Z4EVXCuQkrbRMmY6jHbJW4dh2CRgkwdOwlKFz8HmqyhR7FyiOWMwk7ZCjdlXzWQPbkVt3B-c_b-Y_x_nP3fzn3ztkv1343G_hRU4FGpvoP0e8Q962C7l6_TC1vcd1f02eUccL9lhnn6zV86V5g4ZOLQ_IUzEWB5698fmudzm4wtYRzX4DTrv6gA |
link.rule.ids | 315,783,787,12068,21400,27936,27937,31731,33756,41093,41535,42162,42604,43322,43817,52123,52246,74073,74630 |
linkProvider | Springer Nature |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9NAEF6VVgIuiPIQKYXOgRtYxOv12uaCImiVQlIqNUW5rbwPo0jFdhNHKr-pf5KZ9YYIJHpdW-PHNzvvnWHsDY9drFGTRi6zIhI2wT2Xa4HCsBwWzmV54lvmT8_k-FJ8mafzEHBbhbLKjUz0gto2hmLk73mGuh_dmUR-bK8jmhpF2dUwQuMe26M-XDTBIJv_cbhi5N7UZzslbmou03BohouUjs6JRERUyx5zVOHRzd-KaWtt_pMg9Xrn5DF7FAxGGPUI77MdVz9h96chJf6U3Y4uvsH3xWpNN2kKXJjuA1w0VwsLow4t4r6XN9DGb2oqm-iX_eJn51oILVZ_AM1Fu4KugfMlke9gStV6bdnSZKLlLyhrGwif-66c9QoWNUxQXMAIxRdqxSW-ExUcQXjgGu1ZmDU_Q1_sZ-zy5Hj2aRyFCQyR4dmwi_JEF1w7dLjzxFVSV9pU1hZSi1yUqXHSZM6ksc25NVKKTJZDnSH21lhdCJsmz9lujd_2goFDErKIKx17l1wWpirw7hIFiEiF5gP2dvP7Vds32lDkoCBYqgdLIVjKg6VuBuxwg5AKm26ltiwyYO82qG0v_5_awd3UjtiD8Ww6UZPTs68v2UPumYaCMIdst1uu3Ss0Szr92vPeb7PN4EY |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3db9MwED9BJ028TONLFAbcA28QrXEcJ9kLKmzVgLVUbEN7s-KPoEpbEtpUGn8T_yRnx6UCCV4d65L4zr-7853vAF6x2MaKNGlkM8MjbhLac7niBIblqLA2yxNfMn86E6eX_ONVehXyn1YhrXKDiR6oTaPdGfkhy0j3kzuTiMMqpEXMjydv2--R6yDlIq2hncZd2Mm4SEYD2Hl3Mpt_-R1TIFlOfexT0BZnIg1XaBhP3UU6nvDIZbbHjBR6dPunmtrann-FS70WmuzDXjAfcdzz-z7csfUD2J2GAPlD-Dk-_4xfF6u1m6TcMYbujvC8uV4YHHdkH_eVvdHBQFO7JIp-2A8eW9tiKLj6DV2XtGvsGpwvHfkOpy53ry1b16do-QPL2gTCc1-js17hosYzAg8cE5iRjlzSN7n0IwwvXJN1ixfNTaiS_QguJycX70-j0I8h0iwbdVGeqIIpS-53nthKqErpyphCKJ7zMtVW6MzqNDY5M1oInolypDKSBKONKrhJk8cwqOnfngBaIiGKuFKxd9BFoauCZpcEJzzlig3h9Wb5ZduX3ZDOXSFmyZ5ZkpglPbPk7RAONhySYQuu5FZghvBmw7Xt439Te_p_ai9hlwRPnn2YfXoG95iXGXcicwCDbrm2z8lG6dSLIHy_APpY5eM |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=ASO+Visual+Abstract%3A+Solid+Attenuation+Components+Attention+Deep+Learning+Model+to+Predict+Micropapillary+and+Solid+Patterns+in+Lung+Adenocarcinomas+on+Computed+Tomography&rft.jtitle=Annals+of+surgical+oncology&rft.au=Chen%2C+Li-Wei&rft.au=Yang%2C+Shun-Mao&rft.au=Chuang%2C+Ching-Chia&rft.au=Wang%2C+Hao-Jen&rft.date=2022-11-01&rft.issn=1068-9265&rft.eissn=1534-4681&rft.volume=29&rft.issue=12&rft.spage=7483&rft.epage=7484&rft_id=info:doi/10.1245%2Fs10434-022-12273-x&rft.externalDBID=n%2Fa&rft.externalDocID=10_1245_s10434_022_12273_x |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1068-9265&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1068-9265&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1068-9265&client=summon |