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 ‹ Cribriform carcinoma screening

Carcinoma – Epidemiology

Carcinoma – Diagnosis

Ceruminous adenocarcinoma – Differential diagnoses

Ductal carcinoma in situ – Diagnosis

Salivary gland tumour – Diagnosis

Invasive carcinoma of no special type – Prognosis

Atypical ductal hyperplasia – Pathology | Relation to low-grade ductal carcinoma in situ

Atypical ductal hyperplasia – Prognosis | Cancer risk for ADH on a core biopsy

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Transitional cell carcinoma – Diagnosis | Classification

Epithelial-myoepithelial carcinoma of the lung – Staging

Renal medullary carcinoma – Diagnosis

Merkel-cell carcinoma – Diagnosis

Tonsil carcinoma – Diagnosis

Lobular carcinoma in situ – Prognosis

Tonsil carcinoma – Diagnosis | Staging | T Staging

Invasive carcinoma of no special type – Diagnosis | Clinical staging

Ceruminous adenocarcinoma – Management

Verrucous carcinoma – Cause

Carcinoma in situ – Treatment

Primary peritoneal carcinoma – Prognosis and treatment

Sebaceous carcinoma – Treatment

Renal medullary carcinoma – Prevention

Renal cell carcinoma – Prevention

Renal cell carcinoma – Diagnosis | Radiology | Magnetic resonance imaging