Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors.
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| Title: | Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors. |
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| Authors: | Peng J; Department of Neurology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China., Kim DD; Department of Diagnostic Imaging, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, Rhode Island, USA., Patel JB; Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA., Zeng X; Department of Neurology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China., Huang J; School of Computer Science and Engineering, Central South University, Changsha, Hunan, China., Chang K; Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA., Xun X; Department of Neurology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China., Zhang C; Department of Neurology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China., Sollee J; Department of Diagnostic Imaging, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, Rhode Island, USA., Wu J; Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China., Dalal DJ; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA., Feng X; Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA., Zhou H; Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China., Zhu C; Department of Neurology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.; School of Computer Science and Engineering, Central South University, Changsha, Hunan, China., Zou B; School of Computer Science and Engineering, Central South University, Changsha, Hunan, China., Jin K; Department of Radiology, Hunan Children's Hospital, Changsha, Hunan, China., Wen PY; Center for Neuro-Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA., Boxerman JL; Department of Diagnostic Imaging, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, Rhode Island, USA., Warren KE; Department of Pediatrics, Dana Farber Cancer Institute, Boston, Massachusetts, USA., Poussaint TY; Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA., States LJ; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA., Kalpathy-Cramer J; Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA., Yang L; Department of Neurology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China., Huang RY; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA., Bai HX; Department of Diagnostic Imaging, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, Rhode Island, USA. |
| Source: | Neuro-oncology [Neuro Oncol] 2022 Feb 01; Vol. 24 (2), pp. 289-299. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 100887420 Publication Model: Print Cited Medium: Internet ISSN: 1523-5866 (Electronic) Linking ISSN: 15228517 NLM ISO Abbreviation: Neuro Oncol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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