Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Kimmo, Kartasalo"'
Autor:
Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-6 (2023)
Abstract The analysis of FFPE tissue sections stained with haematoxylin and eosin (H&E) or immunohistochemistry (IHC) is essential for the pathologic assessment of surgically resected breast cancer specimens. IHC staining has been broadly adopted int
Externí odkaz:
https://doaj.org/article/8c1c1f1b270a4714814e409886e0d825
Autor:
Øystein Øvrebø, Miina Ojansivu, Kimmo Kartasalo, Hanna M. G. Barriga, Petter Ranefall, Margaret N. Holme, Molly M. Stevens
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-18 (2023)
Abstract Background Stochastic optical reconstruction microscopy (STORM), a super-resolution microscopy technique based on single-molecule localizations, has become popular to characterize sub-diffraction limit targets. However, due to lengthy image
Externí odkaz:
https://doaj.org/article/22d04680a034445f873b0e70e917aec8
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
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-14 (2021)
Abstract Background Virtual reality (VR) enables data visualization in an immersive and engaging manner, and it can be used for creating ways to explore scientific data. Here, we use VR for visualization of 3D histology data, creating a novel interfa
Externí odkaz:
https://doaj.org/article/094eee0a36b944c9a09176943c7c2963
Autor:
Pekka Ruusuvuori, Masi Valkonen, Kimmo Kartasalo, Mira Valkonen, Tapio Visakorpi, Matti Nykter, Leena Latonen
Publikováno v:
Heliyon, Vol 8, Iss 1, Pp e08762- (2022)
Histological changes in tissue are of primary importance in pathological research and diagnosis. Automated histological analysis requires ability to computationally separate pathological alterations from normal tissue. Conventional histopathological
Externí odkaz:
https://doaj.org/article/2242782a1d2044799139317878fa7540
Autor:
Eduard Chelebian, Christophe Avenel, Kimmo Kartasalo, Maja Marklund, Anna Tanoglidi, Tuomas Mirtti, Richard Colling, Andrew Erickson, Alastair D. Lamb, Joakim Lundeberg, Carolina Wählby
Publikováno v:
Cancers, Vol 13, Iss 19, p 4837 (2021)
Prostate cancer is a common cancer type in men, yet some of its traits are still under-explored. One reason for this is high molecular and morphological heterogeneity. The purpose of this study was to develop a method to gain new insights into the co
Externí odkaz:
https://doaj.org/article/a788e7af4a3d471cbc3b92564661c25a
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:
Philippe Weitz, Yinxi Wang, Kimmo Kartasalo, Lars Egevad, Johan Lindberg, Henrik Grönberg, Martin Eklund, Mattias Rantalainen
Publikováno v:
Bioinformatics. 38:3462-3469
Motivation Molecular phenotyping by gene expression profiling is central in contemporary cancer research and in molecular diagnostics but remains resource intense to implement. Changes in gene expression occurring in tumours cause morphological chang
Autor:
Mattias Rantalainen, Johan Hartman, Pekka Ruusuvuori, Christer Larsson, Masi Valkonen, Balázs Ács, Philippe Weitz, Kimmo Kartasalo, Yinxi Wang
Supplementary Methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6306ec703ec8051156d3edfb10e98f5a
https://doi.org/10.1158/0008-5472.22362527.v1
https://doi.org/10.1158/0008-5472.22362527.v1
Autor:
Matti Nykter, Tapio Visakorpi, Wei Zhang, Teuvo L.J. Tammela, Olli Yli-Harja, Janne Seppälä, Serdar Karakurt, Simo-Pekka Leppänen, Kimmo Kartasalo, Mauro Scaravilli, Leena Latonen, Matti Annala, Annika Kohvakka, Kati Kivinummi, Antti Ylipää
Correlation results for the novel transcripts.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ddd511ee61cb14133236047e0bdadd0
https://doi.org/10.1158/0008-5472.22406798.v1
https://doi.org/10.1158/0008-5472.22406798.v1