Common tumors
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: (1) The participant must be 18 years old or older at the time of the participation. (2) The imaging data are of sufficient quality and readability for researchers to correctly interpret the images.
Exclusion criteria
Exclusion criteria: (1) Images are of insufficient quality. (2) Unclear or insufficient pathological confirmation. (3) Researchers think the participant is unsuitable to participate in this research.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Accuracy of the model classifying the malignancy of tumors;Sensitivity of the model classifying the malignancy of tumors; | — |
Secondary
| Measure | Time frame |
|---|---|
| Specificity of the model classifying the malignancy of tumors;False negative rate;False positive rate; | — |
Countries
China
Contacts
Wenling Institute of Big Data and Artificial Intelligence, Zhejiang Cancer Hospital (Taizhou Campus)