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 ‹ Secondary malignant neoplasm to the small Intestine screening

Pancreatic serous cystadenoma – Diagnosis

Salivary gland tumour – Diagnosis

Ovarian mucinous tumor – Prognosis

Squamous-cell thyroid carcinoma – Diagnosis | Markers

Squamous-cell thyroid carcinoma – Diagnosis | Radiological examination

Glomus tumor – Treatment

Colorectal polyp – Prevention

Papillary urothelial neoplasm of low malignant potential – Diagnosis

Pancreatic serous cystadenoma – Treatment

Polyp (medicine) – Digestive polyps | Adenomatous polyps | Screening

Papillary urothelial neoplasm of low malignant potential – Treatment

Chondromyxoid fibroma – Treatment and prognosis

Colorectal polyp – Diagnosis

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Salivary gland tumour – Treatment

Epithelial-myoepithelial carcinoma of the lung – Staging

Mucinous cystadenocarcinoma of the lung – Treatment

Papillary tumors of the pineal region – Current research

Chondromyxoid fibroma – Radiographic features

Endodermal sinus tumor – Diagnosis

Ovarian mucinous tumor – Abstract

Krukenberg tumor – Treatment and prognosis

Giant-cell carcinoma of the lung – Treatment

Sebaceous lymphadenoma – Treatment