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

Logo Beuth University of Applied Sciences Berlin

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

Imprint / Contact

Results for Query ‹ Squamous cell thyroid carcinoma screening

Squamous-cell thyroid carcinoma – Diagnosis | Radiological examination

Squamous-cell thyroid carcinoma – Diagnosis | Markers

Follicular thyroid cancer – Hurthle cell variant

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Medullary thyroid cancer – Genetics | Markers

Medullary thyroid cancer – Diagnosis

Papillary thyroid cancer – Prognosis | MACIS

Epithelial-myoepithelial carcinoma of the lung – Staging

Giant-cell carcinoma of the lung – Treatment

Mucoepidermoid carcinoma – Prognosis

Follicular thyroid cancer – Treatment | Finding disease recurrence

Pulmonary neuroendocrine tumor – Diagnosis

Pulmonary neuroendocrine tumor – Genetics

Ceruminous adenocarcinoma – Differential diagnoses

Hürthle cell – Clinical significance | Treatment

Hürthle cell – Clinical significance | Diagnosis

Giant-cell carcinoma of the lung – Prognosis

Papillary thyroid cancer – Prognosis | Stage

Non-small-cell lung carcinoma – Staging

Nasopharynx cancer – Diagnosis | Staging

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

Combined small-cell lung carcinoma – Staging

Adenocarcinoma of the lung – Histopathology

Combined small-cell lung carcinoma – Prognosis and survival

Nasopharynx cancer – Treatment