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Thyroid pathology image classification via multi-scale feature fusion and multi-instance learning - Diagnostic Pathology
The dataset consists of 672 original pathological slides from the Pathology Departments of Liuzhou Cancer Hospital and Taizhou Cancer Hospital (Table 1), all stained with Hematoxylin and Eosin (H&E) and containing thyroid tumor tissues with confirmed diagnoses. These slides were digitized using a high-resolution digital slide scanner at 20x magnification, resulting in high-pixel digital images for analysis.
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