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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 [Peer Reviewed Journal]

Netherlands: Elsevier B.V

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2
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 [Peer Reviewed Journal]

United States: American Medical Association

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3
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 [Peer Reviewed Journal]

United States: Elsevier Ltd

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4
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 [Peer Reviewed Journal]

Netherlands: Elsevier B.V

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5
Residual cyclegan for robust domain transformation of histopathological tissue slides
Residual cyclegan for robust domain transformation of histopathological tissue slides
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Residual cyclegan for robust domain transformation of histopathological tissue slides

de Bel, Thomas ; Bokhorst, John-Melle ; van der Laak, Jeroen ; Litjens, Geert

Medical image analysis, 2021-05, Vol.70, p.102004-102004, Article 102004 [Peer Reviewed Journal]

Netherlands: Elsevier B.V

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6
Diffusion models for out-of-distribution detection in digital pathology
Diffusion models for out-of-distribution detection in digital pathology
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Diffusion models for out-of-distribution detection in digital pathology

Linmans, Jasper ; Raya, Gabriel ; van der Laak, Jeroen ; Litjens, Geert

Medical image analysis, 2024-04, Vol.93, p.103088-103088, Article 103088 [Peer Reviewed Journal]

Netherlands: Elsevier B.V

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7
Learning to detect lymphocytes in immunohistochemistry with deep learning
Learning to detect lymphocytes in immunohistochemistry with deep learning
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Learning to detect lymphocytes in immunohistochemistry with deep learning

Swiderska-Chadaj, Zaneta ; Pinckaers, Hans ; van Rijthoven, Mart ; Balkenhol, Maschenka ; Melnikova, Margarita ; Geessink, Oscar ; Manson, Quirine ; Sherman, Mark ; Polonia, Antonio ; Parry, Jeremy ; Abubakar, Mustapha ; Litjens, Geert ; van der Laak, Jeroen ; Ciompi, Francesco

Medical image analysis, 2019-12, Vol.58, p.101547-101547, Article 101547 [Peer Reviewed Journal]

Netherlands: Elsevier B.V

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8
Automatic Pigmentation Grading of the Trabecular Meshwork in Gonioscopic Images
Automatic Pigmentation Grading of the Trabecular Meshwork in Gonioscopic Images
Material Type:
Conference Proceeding 		Add to e-Shelf

Automatic Pigmentation Grading of the Trabecular Meshwork in Gonioscopic Images

De Giusti, Andrea ; Pajaro, Simone ; Tanito, Masaki McKenna, Stephen ; van der Laak, Jeroen ; Garvin, Mona K. ; Xu, Yanwu ; Trucco, Emanuele ; Veta, Mitko ; Taylor, Zeike ; Maier-Hein, Lena ; Rajpoot, Nasir ; Ciompi, Francesco ; Stoyanov, Danail ; Bogunovic, Hrvoje ; Martel, Anne ; Snead, David ; Chen, Xin Jan

Computational Pathology and Ophthalmic Medical Image Analysis, p.193-200 [Peer Reviewed Journal]

Cham: Springer International Publishing

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9
Visual Field Based Automatic Diagnosis of Glaucoma Using Deep Convolutional Neural Network
Visual Field Based Automatic Diagnosis of Glaucoma Using Deep Convolutional Neural Network
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Conference Proceeding 		Add to e-Shelf

Visual Field Based Automatic Diagnosis of Glaucoma Using Deep Convolutional Neural Network

Li, Fei ; Wang, Zhe ; Qu, Guoxiang ; Qiao, Yu ; Zhang, Xiulan McKenna, Stephen ; van der Laak, Jeroen ; Garvin, Mona K. ; Xu, Yanwu ; Trucco, Emanuele ; Veta, Mitko ; Taylor, Zeike ; Maier-Hein, Lena ; Rajpoot, Nasir ; Ciompi, Francesco ; Stoyanov, Danail ; Bogunovic, Hrvoje ; Martel, Anne ; Snead, David ; Chen, Xin Jan

Computational Pathology and Ophthalmic Medical Image Analysis, p.285-293 [Peer Reviewed Journal]

Cham: Springer International Publishing

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10
Exploiting Multiple Color Representations to Improve Colon Cancer Detection in Whole Slide H&E Stains
Exploiting Multiple Color Representations to Improve Colon Cancer Detection in Whole Slide H&E Stains
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Conference Proceeding 		Add to e-Shelf

Exploiting Multiple Color Representations to Improve Colon Cancer Detection in Whole Slide H&E Stains

Jørgensen, Alex Skovsbo ; Emborg, Jonas ; Røge, Rasmus ; Østergaard, Lasse Riis McKenna, Stephen ; van der Laak, Jeroen ; Garvin, Mona K. ; Xu, Yanwu ; Trucco, Emanuele ; Veta, Mitko ; Taylor, Zeike ; Maier-Hein, Lena ; Rajpoot, Nasir ; Ciompi, Francesco ; Stoyanov, Danail ; Bogunovic, Hrvoje ; Martel, Anne ; Snead, David ; Chen, Xin Jan

Computational Pathology and Ophthalmic Medical Image Analysis, p.61-68 [Peer Reviewed Journal]

Cham: Springer International Publishing

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