five

HAM10000 expert-annotated explanations and pseudonymized reader study data.

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Figshare2023-08-10 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Reader_study_data_of_dermatologists_diagnoses_confidence_and_trust_in_an_AI_system_on_dermoscopic_images_of_melanomas_and_nevi/23766477
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Reader study was conducted in 3 phases: no ai (phase 1), ai support (phase 2), xai support (phase 3). The data generated in each phase is available in metadata_phase1.csv, metadata_phase2.csv, and metadata_phase3.csv.There are 113 unique participants in phase 1. Additional participants were added in phase 2, resulting in 116 unique clinicians in phases 2 and 3.Important: The 3rd and 13th image in each group are identical. Be careful when performing table joins as the duplicate image_ids can affect them. In metadata_phase1.csv, the AI predictions for the 13th image in each group are null. Please take that into account when performing analysis. In metadata_phase2 and metadata_phase3, the AI predictions for the repeating images are not omitted.participant: Each clinician was assigned a participant Id represented by the participant column.group: Each clinician was randomly assigned to a group. Each group was assigned mutually exclusive sets of images.mask: An internal identifier used for the images. Can be ignored.benign_malignant: ground truth diagnosis.prediction: Diagnosis chosen by the clinician. 1 represents melanoma, 0 represents nevus, 0.5 represents a nevus diagnosis but the clinician chose to excise.confidence: Confidence value entered by the clinician.trust: Trust value entered by the clinician.AI_prediction: Diagnosis predicted by the AI. 1 represents melanoma and 0 represents nevus. language: Language chosen by the clinician.
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2023-08-10
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