| 000 | 01570 a2200445 4500 | ||
|---|---|---|---|
| 005 | 20250518061831.0 | ||
| 264 | 0 | _c20200807 | |
| 008 | 202008s 0 0 eng d | ||
| 022 | _a1872-7565 | ||
| 024 | 7 |
_a10.1016/j.cmpb.2019.105079 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aBlanco, Gustavo | |
| 245 | 0 | 0 |
_aA superpixel-driven deep learning approach for the analysis of dermatological wounds. _h[electronic resource] |
| 260 |
_bComputer methods and programs in biomedicine _cJan 2020 |
||
| 300 |
_a105079 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article | ||
| 650 | 0 | 4 | _aAlgorithms |
| 650 | 0 | 4 | _aArea Under Curve |
| 650 | 0 | 4 | _aBayes Theorem |
| 650 | 0 | 4 | _aDeep Learning |
| 650 | 0 | 4 |
_aDermatology _xmethods |
| 650 | 0 | 4 |
_aDiagnosis, Computer-Assisted _xmethods |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 |
_aImage Processing, Computer-Assisted _xmethods |
| 650 | 0 | 4 | _aMachine Learning |
| 650 | 0 | 4 |
_aPattern Recognition, Automated _xmethods |
| 650 | 0 | 4 | _aPrincipal Component Analysis |
| 650 | 0 | 4 | _aReproducibility of Results |
| 650 | 0 | 4 | _aSensitivity and Specificity |
| 650 | 0 | 4 |
_aSkin Ulcer _xdiagnostic imaging |
| 650 | 0 | 4 | _aSupport Vector Machine |
| 700 | 1 | _aTraina, Agma J M | |
| 700 | 1 | _aTraina, Caetano | |
| 700 | 1 | _aAzevedo-Marques, Paulo M | |
| 700 | 1 | _aJorge, Ana E S | |
| 700 | 1 | _ade Oliveira, Daniel | |
| 700 | 1 | _aBedo, Marcos V N | |
| 773 | 0 |
_tComputer methods and programs in biomedicine _gvol. 183 _gp. 105079 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.cmpb.2019.105079 _zAvailable from publisher's website |
| 999 |
_c30133157 _d30133157 |
||