Table 3.
The performance of six DL algorithms for survival analysis of DAE-derived imaging features.
| Model | Layer | Node | Batch | PLL | C-index | BS | BLL |
|---|---|---|---|---|---|---|---|
| Cox-Time | 3 | 32 | 256 | −1.26 | 0.93 | 0.02 | 0.07 |
| Cox-CC | 1 | 32 | 256 | −1.53 | 0.92 | 0.03 | 0.23 |
| PMF | 3 | 64 | 256 | – | 0.87 | 0.11 | 0.41 |
| N-MTLR | 3 | 32 | 256 | – | 0.88 | 0.05 | 0.16 |
| Deep-Hit | 4 | 16 | 256 | – | 0.93 | 0.04 | 0.16 |
| PC-Hazard | 4 | 32 | 256 | – | 0.90 | 0.04 | 0.13 |
Note. Cox-Time, a relative risk model that extends Cox regression beyond the proportional hazards. Cox-CC, a proportional version of the Cox-Time model. PMF, a model parametrizing the probability mass function (PMF) and optimizing the survival likelihood. Deep-Hit, a PMF method with a loss for improved ranking that can handle competing risks. N-MTLR, the neural multi-task logistic regression. PC-hazard, a piecewise constant hazard (PC—Hazard) model assuming that the continuous-time hazard function is constant in predefined intervals. C-index, Harrell's concordance index; PLL, partial log-likelihood; BS, brier score; BLL, binomial log-likelihood.