Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nita Mulliqi"'
Autor:
Henrik Olsson, Kimmo Kartasalo, Nita Mulliqi, Marco Capuccini, Pekka Ruusuvuori, Hemamali Samaratunga, Brett Delahunt, Cecilia Lindskog, Emiel A. M. Janssen, Anders Blilie, ISUP Prostate Imagebase Expert Panel, Lars Egevad, Ola Spjuth, Martin Eklund
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Artificial intelligence prediction accuracy can be reduced with new data. Here, the authors utilise conformal prediction to reduce incorrect predictions in histopathological analysis of prostate cancer biopsies.
Externí odkaz:
https://doaj.org/article/c697f101952b488aa809d38a2d2d86b0
Autor:
Lars Egevad, Brett Delahunt, Kenneth A Iczkowski, Theo van der Kwast, Geert J L H van Leenders, Katia R M Leite, Chin‐Chen Pan, Hemamali Samaratunga, Toyonori Tsuzuki, Nita Mulliqi, Xiaoyi Ji, Henrik Olsson, Masi Valkonen, Pekka Ruusuvuori, Martin Eklund, Kimmo Kartasalo
Publikováno v:
Histopathology, 82(6), 837-845. Wiley-Blackwell Publishing Ltd
Aims: There is strong evidence that cribriform morphology indicates a worse prognosis of prostatic adenocarcinoma. Our aim was to investigate its interobserver reproducibility in prostate needle biopsies. Methods and results: A panel of nine prostate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10589eb76c53044786f004e6afc7f32e
https://pure.eur.nl/en/publications/2dfa74a9-ab0a-4625-89ff-f2f707322414
https://pure.eur.nl/en/publications/2dfa74a9-ab0a-4625-89ff-f2f707322414
Autor:
Martin Eklund, Pekka Ruusuvuori, Kimmo Kartasalo, Nita Mulliqi, Xiaoyi Ji, Lars Egevad, Henrik Olsson
Publikováno v:
Bioinformatics
Summary Digital pathology enables applying computational methods, such as deep learning, in pathology for improved diagnostics and prognostics, but lack of interoperability between whole slide image formats of different scanner vendors is a challenge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d8e3d9391ea5291f542be5193269aa1
https://pubmed.ncbi.nlm.nih.gov/34358287
https://pubmed.ncbi.nlm.nih.gov/34358287
Autor:
Hans Pinckaers, Johan Lindberg, Martin Eklund, Hemamali Samaratunga, Pekka Ruusuvuori, Wouter Bulten, Carolina Wählby, Nita Mulliqi, Mattias Rantalainen, Henrik Olsson, Xiaoyi Ji, Toyonori Tsuzuki, Kimmo Kartasalo, Lars Egevad, Po-Hsuan Cameron Chen, Brett Delahunt, Geert Litjens
Publikováno v:
European Urology Focus, 7, 4, pp. 687-691
European Urology Focus, 7, 687-691
European Urology Focus, 7, 687-691
Contains fulltext : 238871.pdf (Publisher’s version ) (Open Access) Diagnosis and Gleason grading of prostate cancer in biopsies are critical for the clinical management of men with prostate cancer. Despite this, the high grading variability among
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67df125cbbedbc7233e44987b0de0371
https://doi.org/10.1016/j.euf.2021.07.002
https://doi.org/10.1016/j.euf.2021.07.002
Autor:
Sule Yildirim, Nita Mulliqi, Lule Ahmedi, Øistein Hovde, Ogerta Elezaj, Hao Wang, Ahmed Mohammed
Publikováno v:
ICIP
Accurate polyp detection during the colonoscopy procedure impacts colorectal cancer prevention and early detection. In this paper, we investigate the influence of skip connections as the main component of encoder-decoder based convolutional neural ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5720505e0eb6ad50da2f21c06eb1cb80
https://hdl.handle.net/11250/2732769
https://hdl.handle.net/11250/2732769