{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T02:09:34Z","timestamp":1780538974009,"version":"3.54.1"},"reference-count":37,"publisher":"IOP Publishing","issue":"24","license":[{"start":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T00:00:00Z","timestamp":1670544000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T00:00:00Z","timestamp":1670544000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62001206, 61971213"],"award-info":[{"award-number":["62001206, 61971213"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Guangdong Provincial Key Laboratory of Medical Image Processing","award":["2020B1212060039"],"award-info":[{"award-number":["2020B1212060039"]}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Phys. Med. Biol."],"published-print":{"date-parts":[[2022,12,21]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Accurate\n                    <jats:italic>T<\/jats:italic>\n                    -staging is important when planning personalized radiotherapy. However,\n                    <jats:italic>T<\/jats:italic>\n                    -staging via manual slice-by-slice inspection is time-consuming while tumor sizes and shapes are heterogeneous, and junior physicians find such inspection challenging. With inspiration from oncological diagnostics, we developed a multi-perspective aggregation network that incorporated various diagnosis-oriented knowledge which allowed automated nasopharyngeal carcinoma\n                    <jats:italic>T<\/jats:italic>\n                    -staging detection (TSD Net). Specifically, our TSD Net was designed in multi-branch architecture, which can capture tumor size and shape information (basic knowledge), strongly correlated contextual features, and associations between the tumor and surrounding tissues. We defined the association between the tumor and surrounding tissues by a signed distance map which can embed points and tumor contours in higher-dimensional spaces, yielding valuable information regarding the locations of tissue associations. TSD Net finally outputs a\n                    <jats:italic>T<\/jats:italic>\n                    1\u2013\n                    <jats:italic>T<\/jats:italic>\n                    4 stage prediction by aggregating data from the three branches. We evaluated TSD Net by using the T1-weighted contrast-enhanced magnetic resonance imaging database of 320 patients in a three-fold cross-validation manner. The results show that the proposed method achieves a mean area under the curve (AUC) as high as 87.95%. We also compared our method to traditional classifiers and a deep learning-based method. Our TSD Net is efficient and accurate and outperforms other methods.\n                  <\/jats:p>","DOI":"10.1088\/1361-6560\/aca516","type":"journal-article","created":{"date-parts":[[2022,11,22]],"date-time":"2022-11-22T17:44:15Z","timestamp":1669139055000},"page":"245007","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["A multi-perspective information aggregation network for automated\n                    <i>T<\/i>\n                    -staging detection of nasopharyngeal carcinoma"],"prefix":"10.1088","volume":"67","author":[{"given":"Shujun","family":"Liang","sequence":"first","affiliation":[{"name":"Southern Medical University"},{"name":"Southern Medical University"},{"name":"Guangdong Province"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiuyu","family":"Dong","sequence":"additional","affiliation":[{"name":"Southern Medical University"},{"name":"Southern Medical University"},{"name":"Guangdong Province"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaifan","family":"Yang","sequence":"additional","affiliation":[{"name":"Southern Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiqin","family":"Chu","sequence":"additional","affiliation":[{"name":"Southern Medical University"},{"name":"Southern Medical University"},{"name":"Guangdong Province"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fan","family":"Tang","sequence":"additional","affiliation":[{"name":"Southern Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Ye","sequence":"additional","affiliation":[{"name":"Southern Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bei","family":"Chen","sequence":"additional","affiliation":[{"name":"Southern Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Guan","sequence":"additional","affiliation":[{"name":"Southern Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Southern Medical University"},{"name":"Southern Medical University"},{"name":"Guangdong Province"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2022,12,9]]},"reference":[{"key":"pmbaca516bib1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/ncomms5006","type":"journal-article","article-title":"Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach","volume":"5","author":"Aerts","year":"2014","journal-title":"Nat. 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All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2022-07-02","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2022-11-22","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2022-12-09","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}