Dataset: 9.3K articles from Wikipedia (CC BY-SA).
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Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin

Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)

Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies

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Results for Query ‹ Carcinoma of the Ureter screening

Ureteral cancer – Diagnosis

Transitional cell carcinoma – Diagnosis | Classification

Ureteral cancer – Treatment

Primary peritoneal carcinoma – Prognosis and treatment

Transitional cell carcinoma – Diagnosis

Invasive urothelial carcinoma – Prognosis and treatment

Carcinoma – Epidemiology

Carcinoma – Diagnosis

Invasive carcinoma of no special type – Prognosis

Lobular carcinoma in situ – Prognosis

Renal medullary carcinoma – Diagnosis

Transitional cell carcinoma of the ovary – Prognosis

Renal medullary carcinoma – Prevention

Invasive carcinoma of no special type – Diagnosis | Clinical staging

Lobular carcinoma in situ – Treatment options

Transitional cell carcinoma of the ovary – Pathology

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Invasive urothelial carcinoma – Abstract

Epithelial-myoepithelial carcinoma of the lung – Staging

Carcinoma in situ – Treatment

Primary peritoneal carcinoma – Genetic causes

Serous carcinoma – Differential diagnosis

Clear-cell adenocarcinoma – Abstract

Serous carcinoma – Abstract

Salivary gland tumour – Diagnosis