Development of computer database and application of machine learning algorithms to assist the real time differentiation between adenomatous and hyperplastic subcentrim
Thesis supervisor: László Madácsy
Location of studies (in Hungarian): Endokapszula Magánorvosi Centrum Székesfehérvár Abbreviation of location of studies: ENDOK
Description of the research topic:
The prediction of histology of polyps during colonoscopy can support the resect and discard strategy. The use of recent classification needs expertise and routine. A computer algorithm can be capable to predict the histology based on preprocessed high-resolution images or BASIC classification descriptors. The aim of the current study is to develop a cloud-based deep learning algorithm to predict the polyp histology on high-resolution images made with different virtual chromoendoscopic technique.
Required language skills: english Number of students who can be accepted: 1
Deadline for application: 2019-06-30
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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