Fig. 2: Illustrative examples of different techniques used in transparent ML systems for classification and segmentation tasks from the systematic review. | npj Digital Medicine

Fig. 2: Illustrative examples of different techniques used in transparent ML systems for classification and segmentation tasks from the systematic review.

From: Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review

Fig. 2: Illustrative examples of different techniques used in transparent ML systems for classification and segmentation tasks from the systematic review.

Within each task, a non-interpretable model generates the task outcome from the input image (top). The use of clinical knowledge or computer vision information as priors attempts to add transparency in the outcome generation process (bottom). Images retrieved from the ORIGA127 and BraTS2020 datasets128.

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