Dataset: 9.3K articles from Wikipedia (CC BY-SA).
More datasets: Wikipedia | CORD-19

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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 ‹ Granular cell adenocarcinoma screening

Adenocarcinoma in situ of the lung – Diagnosis

Giant-cell carcinoma of the lung – Treatment

Giant-cell carcinoma of the lung – Prognosis

Adenocarcinoma in situ of the lung – Epidemiology

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Fetal adenocarcinoma – Prognosis and survival

Granular cell tumor – Treatment

Mucinous cystadenocarcinoma of the lung – Treatment

Non-small-cell lung carcinoma – Staging

Combined small-cell lung carcinoma – Staging

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

Large-cell lung carcinoma – Incidence

Urachal cancer – Diagnosis

Ceruminous adenocarcinoma – Differential diagnoses

Combined small-cell lung carcinoma – Incidence

Clear cell carcinoma – Abstract

Large-cell lung carcinoma – Diagnosis

Adenocarcinoma of the lung – Histopathology

Signet ring cell carcinoma – Prognosis by organ

Urachal cancer – Histopathology

Perivascular epithelioid cell tumour – Diagnosis | Immunohistochemical markers

Fetal adenocarcinoma – Treatment

Pulmonary neuroendocrine tumor – Diagnosis

Hürthle cell – Clinical significance | Diagnosis

Adenocarcinoma of the lung – Management