five

HAM10000 expert-annotated explanations and pseudonymized reader study data.

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DataCite Commons2025-07-14 更新2025-09-08 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/23766477/8
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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.<b>Important:</b> 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.<br><i>participant</i>: Each clinician was assigned a participant Id represented by the participant column.<i>group</i>: Each clinician was randomly assigned to a group. Each group was assigned mutually exclusive sets of images.<i>mask</i>: An internal identifier used for the images. Can be ignored.<i>benign_malignant</i>: ground truth diagnosis.<i>prediction</i>: Diagnosis chosen by the clinician. 1 represents melanoma, 0 represents nevus, 0.5 represents a nevus diagnosis but the clinician chose to excise.<i>confidence</i>: Confidence value entered by the clinician.<i>trust</i>: Trust value entered by the clinician.<i>AI_prediction</i>: Diagnosis predicted by the AI. 1 represents melanoma and 0 represents nevus. <i>language</i>: Language chosen by the clinician.
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figshare
创建时间:
2025-07-14
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