000 | 01213 a2200313 4500 | ||
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005 | 20250518094844.0 | ||
008 | ####s 0 0 eng d | ||
022 | _a2405-6308 | ||
024 | 7 |
_a10.1016/j.ctro.2020.03.007 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aLuna, José Marcio | |
245 | 0 | 0 |
_aMachine learning highlights the deficiency of conventional dosimetric constraints for prevention of high-grade radiation esophagitis in non-small cell lung cancer treated with chemoradiation. _h[electronic resource] |
260 |
_bClinical and translational radiation oncology _cMay 2020 |
||
300 |
_a69-75 p. _bdigital |
||
500 | _aPublication Type: Journal Article | ||
700 | 1 | _aChao, Hann-Hsiang | |
700 | 1 | _aShinohara, Russel T | |
700 | 1 | _aUngar, Lyle H | |
700 | 1 | _aCengel, Keith A | |
700 | 1 | _aPryma, Daniel A | |
700 | 1 | _aChinniah, Chidambaram | |
700 | 1 | _aBerman, Abigail T | |
700 | 1 | _aKatz, Sharyn I | |
700 | 1 | _aKontos, Despina | |
700 | 1 | _aSimone, Charles B | |
700 | 1 | _aDiffenderfer, Eric S | |
773 | 0 |
_tClinical and translational radiation oncology _gvol. 22 _gp. 69-75 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.ctro.2020.03.007 _zAvailable from publisher's website |
999 |
_c30841698 _d30841698 |