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 ‹ Pleomorphic carcinoma screening

Carcinoma – Epidemiology

Carcinoma – Diagnosis | Staging

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Epithelial-myoepithelial carcinoma of the lung – Staging

Renal medullary carcinoma – Diagnosis

Renal medullary carcinoma – Prevention

Invasive carcinoma of no special type – Prognosis

Giant-cell carcinoma of the lung – Treatment

Giant-cell carcinoma of the lung – Prognosis

Acinic cell carcinoma – Treatment

Acinic cell carcinoma – Prognosis

Primary peritoneal carcinoma – Prognosis and treatment

Undifferentiated pleomorphic sarcoma – Diagnosis

Verrucous carcinoma – Cause

Tonsil carcinoma – Diagnosis | Staging | T Staging

Invasive carcinoma of no special type – Diagnosis | Clinical staging

Non-small-cell lung carcinoma – Staging

Tonsil carcinoma – Diagnosis | Staging | M staging

Lobular carcinoma in situ – Prognosis

Clear cell carcinoma – Abstract

Non-small-cell lung carcinoma – Staging | Five-year survival rates

Verrucous carcinoma – Treatment

Sebaceous carcinoma – Treatment

Epithelial-myoepithelial carcinoma – Prognosis

Transitional cell carcinoma of the ovary – Pathology