Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Hàvard E. Danielsen"'
Autor:
Wanja Kildal, Karolina Cyll, Joakim Kalsnes, Rakibul Islam, Frida M. Julbø, Manohar Pradhan, Elin Ersvær, Neil Shepherd, Ljiljana Vlatkovic, Xavier Tekpli, Øystein Garred, Gunnar B. Kristensen, Hanne A. Askautrud, Tarjei S. Hveem, Håvard E. Danielsen, Tone F. Bathen, Elin Borgen, Anne-Lise Børresen-Dale, Olav Engebråten, Britt Fritzman, Olaf Johan Hartman-Johnsen, Jürgen Geisler, Gry Aarum Geitvik, Solveig Hofvind, Rolf Kåresen, Anita Langerød, Ole Christian Lingjærde, Gunhild M. Mælandsmo, Bjørn Naume, Hege G. Russnes, Kristine Kleivi Sahlberg, Torill Sauer, Helle Kristine Skjerven, Ellen Schlichting, Therese Sørlie
Publikováno v:
Heliyon, Vol 10, Iss 13, Pp e32529- (2024)
We aimed to develop deep learning (DL) models to detect protein expression in immunohistochemically (IHC) stained tissue-sections, and to compare their accuracy and performance with manually scored clinically relevant proteins in common cancer types.
Externí odkaz:
https://doaj.org/article/e0dc5fe8cfec49769db7555ff4402d86
Autor:
Inga Hansine Rye, Kanutte Huse, Sarah E. Josefsson, Wanja Kildal, Håvard E. Danielsen, Ellen Schlichting, Øystein Garred, Margit L. Riis, OSBREAC, Ole Christian Lingjærde, June H. Myklebust, Hege G. Russnes
Publikováno v:
Molecular Oncology, Vol 16, Iss 1, Pp 88-103 (2022)
Sentinel lymph nodes are the first nodes draining the lymph from a breast and could reveal early changes in the host immune system upon dissemination of breast cancer cells. To investigate this, we performed single‐cell immune profiling of lymph no
Externí odkaz:
https://doaj.org/article/48ccb623f4e6445bbf5ecdb6843d2d41
Autor:
Dan Jiang, Tarjei S. Hveem, Mark Glaire, David N. Church, David J. Kerr, Li Yang, Håvard E. Danielsen
Publikováno v:
EBioMedicine, Vol 71, Iss , Pp 103547- (2021)
Background: Tumor development is critically dependent on the supporting stroma consisting of inflammatory cells and fibroblasts. This study intended to improve prognostic prediction for early colorectal cancer (CRC) by combined estimation of T-lympho
Externí odkaz:
https://doaj.org/article/baeeb2c3ab634364ab37fa6521d1cd05
Autor:
Birgitte Nielsen, Fritz Albregtsen, Wanja Kildal, Vera M. Abeler, Gunnar B. Kristensen, Håvard E. Danielsen
Publikováno v:
Analytical Cellular Pathology, Vol 35, Iss 4, Pp 305-314 (2012)
Background: Nuclear texture analysis gives information about the spatial arrangement of the pixel gray levels in a digitized microscopic nuclear image, providing texture features that may be used as quantitative tools for prognosis of human cancer. T
Externí odkaz:
https://doaj.org/article/0fe1fec05c76404c8b45096c6224e390
Autor:
José M. Lopes, Einar Hannisdal, Bodil Bjerkehagen, Øyvind S. Bruland, Håvard E. Danielsen, Erik O. Pettersend, Manuel Sobrinho-Simões, Jahn M. Nesland
Publikováno v:
Analytical Cellular Pathology, Vol 16, Iss 1, Pp 45-62 (1998)
Controversy still exists regarding the validity of parameters commonly used in the evaluation of prognosis of patients with synovial sarcoma (SS). Forty-nine cases of previously untreated primary SS (23 females and 26 males, ranging in age from 7 to
Externí odkaz:
https://doaj.org/article/f67ff69ecbfc49a79c564f69bfe563de
Autor:
Helene Schulerud, Gunner B. Kristensen, Knut Liestøl, Liljana Vlatkovic, Albrecht Reith, Fritz Albregtsen, Hàvard E. Danielsen
Publikováno v:
Analytical Cellular Pathology, Vol 16, Iss 2, Pp 63-82 (1998)
A large body of the published literature in nuclear image analysis do not evaluate their findings on an independent data set. Hence, if several features are evaluated on a limited data set over‐optimistic results are easily achieved. In order to fi
Externí odkaz:
https://doaj.org/article/879cf54011e24c6694369ad7d8c7276d
Autor:
Maria P. Silva, João D. Barros-Silva, Elin Ersvær, Wanja Kildal, Tarjei Sveinsgjerd Hveem, Manohar Pradhan, Joana Vieira, Manuel R. Teixeira, Håvard E. Danielsen
Publikováno v:
Translational Oncology, Vol 9, Iss 6, Pp 575-582 (2016)
Overtreatment is a major concern in men diagnosed with prostate cancer. The aim of this study was to evaluate the combined prognostic role of three frequent molecular alterations in prostate cancer, namely relative 8q gain, ERG overexpression, and lo
Externí odkaz:
https://doaj.org/article/11ff607597444a0e898f195f3e27f591
Autor:
Maria E. Pretorius, Håkon Wæhre, Vera M. Abeler, Ben Davidson, Ljiljana Vlatkovic, Ragnhild A. Lothe, Karl-Erik Giercksky, Håvard E. Danielsen
Publikováno v:
Cellular Oncology, Vol 31, Iss 4, Pp 251-259 (2009)
Background: The clinical outcome for the individual prostate cancer patient is often difficult to predict, due to lack of reliable independent prognostic biomarkers. We tested DNA ploidy as a prognostic factor for clinical outcome in 186 patients tre
Externí odkaz:
https://doaj.org/article/981d07d6204340ae9e94dc12bd59c91a
Autor:
Birgitte Nielsen, Håvard E. Danielsen
Publikováno v:
Cellular Oncology, Vol 28, Iss 3, Pp 85-95 (2006)
Background: Nuclear texture analysis is a useful method to obtain quantitative information for use in prognosis of cancer. The first-order gray level statistics of a digitized light microscopic nuclear image may be influenced by variations in the ima
Externí odkaz:
https://doaj.org/article/e7a042e6b8374a439da78b76542d2379
Publikováno v:
Analytical Cellular Pathology, Vol 23, Iss 2, Pp 75-88 (2001)
In order to study the prognostic value of quantifying the chromatin structure of cell nuclei from patients with early ovarian cancer, low dimensionality adaptive fractal and Gray Level Cooccurrence Matrix texture feature vectors were extracted from n
Externí odkaz:
https://doaj.org/article/98674c93bf4f4fccb57015a8686ec3a8