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. 2022 Jun 17;12(6):1489. doi: 10.3390/diagnostics12061489

Figure 4.

Figure 4

The detailed architectures of DL models (a) a CNN [23] and (b) a DeepSurv [52] to predict the overall survival time of glioblastoma and oral cancer patients, respectively. (c) A residual CNN [41] and (d) a SRN [7] to generate the risk score of overall survival and the survival probability of gastric cancer patients. (e) A multi-input CNN [27], (f) a densely connected center cropping CNN (DC3CNN) [82], and (g) a 3D DenseNet [86] to predict the treatment response from breast cancer chemotherapy, colorectal liver metastases chemotherapy, and lung cancer immunotherapy, respectively. (h) A modified FCN [37] to predict HSILs or higher (SQCC) for further treatment suggestion for cervical cancer patients; and (i) a ResNet [42] to guide the patient selection of adjuvant imatinib therapy for gastrointestinal stromal tumor patients.