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A survey on deep learning in medical image analysis
A survey on deep learning in medical image analysis
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A survey on deep learning in medical image analysis

Litjens, Geert ; Kooi, Thijs ; Bejnordi, Babak Ehteshami ; Setio, Arnaud Arindra Adiyoso ; Ciompi, Francesco ; Ghafoorian, Mohsen ; van der Laak, Jeroen A.W.M. ; van Ginneken, Bram ; Sánchez, Clara I.

Medical image analysis, 2017-12, Vol.42, p.60-88 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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2
Deep learning assisted mitotic counting for breast cancer
Deep learning assisted mitotic counting for breast cancer
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Deep learning assisted mitotic counting for breast cancer

Balkenhol, Maschenka C.A. ; Tellez, David ; Vreuls, Willem ; Clahsen, Pieter C. ; Pinckaers, Hans ; Ciompi, Francesco ; Bult, Peter ; van der Laak, Jeroen A.W.M.

Laboratory investigation, 2019-11, Vol.99 (11), p.1596-1606 [Periódico revisado por pares]

United States: Elsevier Inc

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3
Deep learning in histopathology: the path to the clinic
Deep learning in histopathology: the path to the clinic
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Deep learning in histopathology: the path to the clinic

van der Laak, Jeroen ; Litjens, Geert ; Ciompi, Francesco

Nature medicine, 2021-05, Vol.27 (5), p.775-784 [Periódico revisado por pares]

United States: Nature Publishing Group

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4
Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital Age
Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital Age
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Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital Age

Wasmann, Jan-Willem A ; Lanting, Cris P ; Huinck, Wendy J ; Mylanus, Emmanuel A M ; van der Laak, Jeroen W M ; Govaerts, Paul J ; Swanepoel, De Wet ; Moore, David R ; Barbour, Dennis L

Ear and hearing, 2021-11, Vol.42 (6), p.1499-1507 [Periódico revisado por pares]

United States

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5
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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6
A Decade of GigaScience: The Challenges of Gigapixel Pathology Images
A Decade of GigaScience: The Challenges of Gigapixel Pathology Images
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A Decade of GigaScience: The Challenges of Gigapixel Pathology Images

Litjens, Geert ; Ciompi, Francesco ; van der Laak, Jeroen

Gigascience, 2022-06, Vol.11 [Periódico revisado por pares]

United States: Oxford University Press

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7
Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

Abels, Esther ; Pantanowitz, Liron ; Aeffner, Famke ; Zarella, Mark D ; Laak, Jeroen ; Bui, Marilyn M ; Vemuri, Venkata NP ; Parwani, Anil V ; Gibbs, Jeff ; Agosto‐Arroyo, Emmanuel ; Beck, Andrew H ; Kozlowski, Cleopatra

The Journal of pathology, 2019-11, Vol.249 (3), p.286-294 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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8
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
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Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

Litjens, Geert ; Sánchez, Clara I ; Timofeeva, Nadya ; Hermsen, Meyke ; Nagtegaal, Iris ; Kovacs, Iringo ; Hulsbergen-van de Kaa, Christina ; Bult, Peter ; van Ginneken, Bram ; van der Laak, Jeroen

Scientific reports, 2016-05, Vol.6 (1), p.26286-26286, Article 26286 [Periódico revisado por pares]

England: Nature Publishing Group

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9
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
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Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

Ehteshami Bejnordi, Babak ; Veta, Mitko ; Johannes van Diest, Paul ; van Ginneken, Bram ; Karssemeijer, Nico ; Litjens, Geert ; van der Laak, Jeroen A. W. M ; Hermsen, Meyke ; Manson, Quirine F ; Balkenhol, Maschenka ; Geessink, Oscar ; Stathonikos, Nikolaos ; van Dijk, Marcory CRF ; Bult, Peter ; Beca, Francisco ; Beck, Andrew H ; Wang, Dayong ; Khosla, Aditya ; Gargeya, Rishab ; Irshad, Humayun ; Zhong, Aoxiao ; Dou, Qi ; Li, Quanzheng ; Chen, Hao ; Lin, Huang-Jing ; Heng, Pheng-Ann ; Haß, Christian ; Bruni, Elia ; Wong, Quincy ; Halici, Ugur ; Öner, Mustafa Ümit ; Cetin-Atalay, Rengul ; Berseth, Matt ; Khvatkov, Vitali ; Vylegzhanin, Alexei ; Kraus, Oren ; Shaban, Muhammad ; Rajpoot, Nasir ; Awan, Ruqayya ; Sirinukunwattana, Korsuk ; Qaiser, Talha ; Tsang, Yee-Wah ; Tellez, David ; Annuscheit, Jonas ; Hufnagl, Peter ; Valkonen, Mira ; Kartasalo, Kimmo ; Latonen, Leena ; Ruusuvuori, Pekka ; Liimatainen, Kaisa ; Albarqouni, Shadi ; Mungal, Bharti ; George, Ami ; Demirci, Stefanie ; Navab, Nassir ; Watanabe, Seiryo ; Seno, Shigeto ; Takenaka, Yoichi ; Matsuda, Hideo ; Ahmady Phoulady, Hady ; Kovalev, Vassili ; Kalinovsky, Alexander ; Liauchuk, Vitali ; Bueno, Gloria ; Fernandez-Carrobles, M. Milagro ; Serrano, Ismael ; Deniz, Oscar ; Racoceanu, Daniel ; Venâncio, Rui

JAMA : the journal of the American Medical Association, 2017-12, Vol.318 (22), p.2199-2210 [Periódico revisado por pares]

United States: American Medical Association

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10
Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology
Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology
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Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology

Faryna, Khrystyna ; van der Laak, Jeroen ; Litjens, Geert

Computers in biology and medicine, 2024-03, Vol.170, p.108018-108018, Article 108018 [Periódico revisado por pares]

United States: Elsevier Ltd

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