Fig. 4: Evaluation of the predictive performance of human liver organoids and HepG2 spheroids image-only models. | Communications Biology

Fig. 4: Evaluation of the predictive performance of human liver organoids and HepG2 spheroids image-only models.

From: Development of an AI model for DILI-level prediction using liver organoid brightfield images

Fig. 4: Evaluation of the predictive performance of human liver organoids and HepG2 spheroids image-only models.

a, b Confusion matrix of DILI classifier based on the human liver organoid and HepG2 spheroid dataset. c, d Indexes of overall accuracy, recall, specificity, precision, and F1 score of DILI classifier based on the human liver organoid and HepG2 spheroid dataset. e, f Receiver operating characteristic (ROC) curves of the human liver organoid and HepG2 spheroid image-only model. Green, yellow, and blue curves represent vNo-, vLess-, and vMost-DILI-Concern labels, respectively. AUC values are labeled for each curve.

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