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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
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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5
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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6
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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7
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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8
Artificial intelligence applied to breast pathology
Artificial intelligence applied to breast pathology
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Artificial intelligence applied to breast pathology

Yousif, Mustafa ; van Diest, Paul J. ; Laurinavicius, Arvydas ; Rimm, David ; van der Laak, Jeroen ; Madabhushi, Anant ; Schnitt, Stuart ; Pantanowitz, Liron

Virchows Archiv : an international journal of pathology, 2022, Vol.480 (1), p.191-209 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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9
Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection
Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection
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Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection

Jarkman, Sofia ; Karlberg, Micael ; Pocevičiūtė, Milda ; Bodén, Anna ; Bándi, Péter ; Litjens, Geert ; Lundström, Claes ; Treanor, Darren ; van der Laak, Jeroen

Cancers, 2022-11, Vol.14 (21), p.5424 [Periódico revisado por pares]

Basel: MDPI AG

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10
Predictive uncertainty estimation for out-of-distribution detection in digital pathology
Predictive uncertainty estimation for out-of-distribution detection in digital pathology
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Predictive uncertainty estimation for out-of-distribution detection in digital pathology

Linmans, Jasper ; Elfwing, Stefan ; van der Laak, Jeroen ; Litjens, Geert

Medical image analysis, 2023-01, Vol.83, p.102655-102655, Article 102655 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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