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Refinado por: assunto: Biopsy remover
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Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies
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Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies

Ehteshami Bejnordi, Babak ; Mullooly, Maeve ; Pfeiffer, Ruth M. ; Fan, Shaoqi ; Vacek, Pamela M. ; Weaver, Donald L. ; Herschorn, Sally ; Brinton, Louise A. ; van Ginneken, Bram ; Karssemeijer, Nico ; Beck, Andrew H. ; Gierach, Gretchen L. ; van der Laak, Jeroen A. W.M. ; Sherman, Mark E.

Modern pathology, 2018-10, Vol.31 (10), p.1502-1512 [Periódico revisado por pares]

United States: Elsevier Inc

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2
Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning
Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning
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Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning

Hermsen, Meyke ; Volk, Valery ; Bräsen, Jan Hinrich ; Geijs, Daan J. ; Gwinner, Wilfried ; Kers, Jesper ; Linmans, Jasper ; Schaadt, Nadine S. ; Schmitz, Jessica ; Steenbergen, Eric J. ; Swiderska-Chadaj, Zaneta ; Smeets, Bart ; Hilbrands, Luuk B. ; Feuerhake, Friedrich ; van der Laak, Jeroen A.W.M.

Laboratory investigation, 2021-08, Vol.101 (8), p.970-982 [Periódico revisado por pares]

United States: Elsevier Inc

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3
Deep Learning-Based Histopathologic Assessment of Kidney Tissue
Deep Learning-Based Histopathologic Assessment of Kidney Tissue
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Deep Learning-Based Histopathologic Assessment of Kidney Tissue

Hermsen, Meyke ; de Bel, Thomas ; den Boer, Marjolijn ; Steenbergen, Eric J ; Kers, Jesper ; Florquin, Sandrine ; Roelofs, Joris J T H ; Stegall, Mark D ; Alexander, Mariam P ; Smith, Byron H ; Smeets, Bart ; Hilbrands, Luuk B ; van der Laak, Jeroen A W M

Journal of the American Society of Nephrology, 2019-10, Vol.30 (10), p.1968-1979 [Periódico revisado por pares]

United States: American Society of Nephrology

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4
A whole‐slide imaging based workflow reduces the reading time of pathologists
A whole‐slide imaging based workflow reduces the reading time of pathologists
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A whole‐slide imaging based workflow reduces the reading time of pathologists

Baidoshvili, Alexi ; Khacheishvili, Mariam ; Laak, Jeroen A. W. M. ; Diest, Paul J.

Pathology international, 2023-03, Vol.73 (3), p.127-134 [Periódico revisado por pares]

Australia: Wiley Subscription Services, Inc

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5
Correlation between dynamic contrast-enhanced MRI and quantitative histopathologic microvascular parameters in organ-confined prostate cancer
Correlation between dynamic contrast-enhanced MRI and quantitative histopathologic microvascular parameters in organ-confined prostate cancer
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Correlation between dynamic contrast-enhanced MRI and quantitative histopathologic microvascular parameters in organ-confined prostate cancer

van Niekerk, Cornelis G. ; van der Laak, Jeroen A. W. M. ; Hambrock, Thomas ; Huisman, Henk-Jan ; Witjes, J. Alfred ; Barentsz, Jelle O. ; de Kaa, Christina A. Hulsbergen-van

European radiology, 2014-10, Vol.24 (10), p.2597-2605 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning
Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning
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Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning

de Bel, Thomas ; Litjens, Geert ; Ogony, Joshua ; Stallings-Mann, Melody ; Carter, Jodi M ; Hilton, Tracy ; Radisky, Derek C ; Vierkant, Robert A ; Broderick, Brendan ; Hoskin, Tanya L ; Winham, Stacey J ; Frost, Marlene H ; Visscher, Daniel W ; Allers, Teresa ; Degnim, Amy C ; Sherman, Mark E ; van der Laak, Jeroen A W M

NPJ breast cancer, 2022-01, Vol.8 (1), p.13-13, Article 13 [Periódico revisado por pares]

United States: Nature Publishing Group

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7
Interobserver variability between experienced and inexperienced observers in the histopathological analysis of Wilms tumors: a pilot study for future algorithmic approach
Interobserver variability between experienced and inexperienced observers in the histopathological analysis of Wilms tumors: a pilot study for future algorithmic approach
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Interobserver variability between experienced and inexperienced observers in the histopathological analysis of Wilms tumors: a pilot study for future algorithmic approach

Rutgers, Jikke J ; Bánki, Tessa ; van der Kamp, Ananda ; Waterlander, Tomas J ; Scheijde-Vermeulen, Marijn A ; van den Heuvel-Eibrink, Marry M ; van der Laak, Jeroen A W M ; Fiocco, Marta ; Mavinkurve-Groothuis, Annelies M C ; de Krijger, Ronald R

Diagnostic pathology, 2021-08, Vol.16 (1), p.77-77, Article 77 [Periódico revisado por pares]

England: BioMed Central Ltd

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8
Evaluation Criteria for Chromosome Instability Detection by FISH to Predict Malignant Progression in Premalignant Glottic Laryngeal Lesions
Evaluation Criteria for Chromosome Instability Detection by FISH to Predict Malignant Progression in Premalignant Glottic Laryngeal Lesions
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Evaluation Criteria for Chromosome Instability Detection by FISH to Predict Malignant Progression in Premalignant Glottic Laryngeal Lesions

Bergshoeff, Verona E ; Balkenhol, Maschenka C A ; Haesevoets, Annick ; Ruland, Andrea ; Chenault, Michelene N ; Nelissen, Rik C ; Peutz, Carine J ; Clarijs, Ruud ; Van der Laak, Jeroen A W M ; Takes, Robert P ; Van den Brekel, Michiel W ; Van Velthuysen, Marie-Louise F ; Ramaekers, Frans C S ; Kremer, Bernd ; Speel, Ernst-Jan M

Cancers, 2022-07, Vol.14 (13), p.3260 [Periódico revisado por pares]

Switzerland: MDPI AG

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9
Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer
Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer
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Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer

Swiderska-Chadaj, Zaneta ; de Bel, Thomas ; Blanchet, Lionel ; Baidoshvili, Alexi ; Vossen, Dirk ; van der Laak, Jeroen ; Litjens, Geert

Scientific reports, 2020-09, Vol.10 (1), p.14398, Article 14398 [Periódico revisado por pares]

England: Nature Publishing Group

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10
Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
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Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study

Bulten, Wouter ; Pinckaers, Hans ; van Boven, Hester ; Vink, Robert ; de Bel, Thomas ; van Ginneken, Bram ; van der Laak, Jeroen ; Hulsbergen-van de Kaa, Christina ; Litjens, Geert

The lancet oncology, 2020-02, Vol.21 (2), p.233-241 [Periódico revisado por pares]

England: Elsevier Ltd

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