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Evaluation of Artif...
Evaluation of Artificial Intelligence-Based Gleason Grading Algorithms "in the Wild"
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- Faryna, Khrystyna (författare)
- Radboud Univ Nijmegen, Netherlands
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- Tessier, Leslie (författare)
- Radboud Univ Nijmegen, Netherlands
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- Retamero, Juan (författare)
- Paige, NY USA
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- Bonthu, Saikiran (författare)
- Aira Matrix, India
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- Samanta, Pranab (författare)
- Aira Matrix, India
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- Singhal, Nitin (författare)
- Aira Matrix, India
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- Kammerer-Jacquet, Solene-Florence (författare)
- Rennes Univ Hosp, France
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- Radulescu, Camelia (författare)
- Hop Foch, France
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- Agosti, Vittorio (författare)
- Univ Brescia, Italy
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- Collin, Alexandre (författare)
- Angers Univ Hosp Ctr, France
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- Farre, Xavier (författare)
- Publ Hlth Agcy Catalonia, Spain
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- Fontugne, Jacqueline (författare)
- Inst Curie, France
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- Grobholz, Rainer (författare)
- Cantonal Hosp Aarau, Switzerland
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- Hoogland, Agnes Marije (författare)
- Isala Zwolle, Netherlands
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- Leite, Katia Ramos Moreira (författare)
- Univ Sao Paulo, Brazil
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- Oktay, Murat (författare)
- Mem Hosp Grp, Turkiye
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- Polonia, Antonio (författare)
- Ipatimup, Portugal
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- Roy, Paromita (författare)
- Tata Med Ctr, India
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- Guilherme, Paulo (författare)
- Inst Mario Penna, Brazil
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- van der Kwast, Theodorus H. (författare)
- Univ Hlth Network, Canada
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- van Ipenburg, Jolique (författare)
- Radboud Univ Nijmegen, Netherlands
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- van der Laak, Jeroen (författare)
- Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Klinisk patologi,Radboud Univ Nijmegen, Netherlands
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- Litjens, Geert (författare)
- Radboud Univ Nijmegen, Netherlands
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(creator_code:org_t)
- ELSEVIER SCIENCE INC, 2024
- 2024
- Engelska.
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Ingår i: Modern Pathology. - : ELSEVIER SCIENCE INC. - 0893-3952 .- 1530-0285. ; 37:11
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The biopsy Gleason score is an important prognostic marker for prostate cancer patients. It is, however, subject to substantial variability among pathologists. Artificial intelligence (AI)ebased algorithms employing deep learning have shown their ability to match pathologists' performance in assigning Gleason scores, with the potential to enhance pathologists' grading accuracy. The performance of Gleason AI algorithms in research is mostly reported on common benchmark data sets or within public challenges. In contrast, many commercial algorithms are evaluated in clinical studies, for which data are not publicly released. As commercial AI vendors typically do not publish performance on public benchmarks, comparison between research and commercial AI is difficult. The aims of this study are to evaluate and compare the performance of top-ranked public and commercial algorithms using real-world data. We curated a diverse data set of whole-slide prostate biopsy images through crowdsourcing containing images with a range of Gleason scores and from diverse sources. Predictions were obtained from 5 top-ranked public algorithms from the Prostate cANcer graDe Assessment (PANDA) challenge and 2 commercial Gleason grading algorithms. Additionally, 10 pathologists (A.C., C.R., J.v.I., K.R.M.L., P.R., P.G.S., R.G., S.F.K.J., T.v.d.K., X.F.) evaluated the data set in a reader study. Overall, the pairwise quadratic weighted kappa among pathologists ranged from 0.777 to 0.916. Both public and commercial algorithms showed high agreement with pathologists, with quadratic kappa ranging from 0.617 to 0.900. Commercial algorithms performed on par or outperformed top public algorithms. (c) 2024 THE AUTHORS. Published by Elsevier Inc. on behalf of the United States & Canadian Academy of Pathology. This is an open access article under the CC BY-NC-ND license (http://creativecommons. org/licenses/by-nc-nd/4.0/).
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Nyckelord
- artificial intelligence; computational pathology; deep learning; Gleason grading
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Till lärosätets databas
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Faryna, Khrystyn ...
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Tessier, Leslie
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Retamero, Juan
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Bonthu, Saikiran
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Samanta, Pranab
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Singhal, Nitin
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Kammerer-Jacquet ...
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Radulescu, Camel ...
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Agosti, Vittorio
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Collin, Alexandr ...
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Farre, Xavier
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Fontugne, Jacque ...
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Grobholz, Rainer
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Hoogland, Agnes ...
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Leite, Katia Ram ...
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Oktay, Murat
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Polonia, Antonio
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Roy, Paromita
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Guilherme, Paulo
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van der Kwast, T ...
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van Ipenburg, Jo ...
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van der Laak, Je ...
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Litjens, Geert
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Cancer och onkol ...
- Artiklar i publikationen
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Modern Pathology
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Linköpings universitet