Interpretable machine learning for presurgical differentiation of Hürthle cell carcinoma and adenoma: a SHAP-augmented approach - Top-Institutions - MDSpire

Interpretable Machine Learning Techniques for Preoperative Distinction Between Hürthle Cell Carcinoma and Adenoma: A SHAP-Enhanced Methodology

By
Junyu Cao
Jing Li
Chuancheng Zhou
Jie Zhou
Kunxian Yang
July 20, 2026

Frontiers In Endocrinology

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

#1

First People’s Hospital of Yunnan Province

Kunming, Yunnan
Key Differentiators
- Pathology
#2

Cancer Genome Atlas

N/A, N/A
Key Differentiators
- Pathology
#3

Seoul National University Hospital

Seoul, Seoul
Key Differentiators
- Pathology
#4

Uganda Cancer Institute

Kampala, Central Region
Key Differentiators
- Pathology