Who Cited It

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

2017 · JAMA · 3,388 citations · 3 from inside this corpus

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

The source holds an abstract for this work, but its best open-access copy is under other-oa, which does not permit us to republish the text. Read it at the source below.

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases … (2017)Diagnostic Assessment of Deep…Random Forests (2001)Random ForestsSupport-vector networks (1995)Support-vector networksSupport-Vector Networks (1995)Support-Vector NetworksConditional Random Fields as Recurrent Neural Networks (2015)Conditional Random Fields as …Machine Learning in Medicine (2019)Machine Learning in MedicineClinical-grade computational pathology using weakly supervised deep learning on whole sli… (2019)Clinical-grade computational …Artificial intelligence in digital pathology — new tools for diagnosis and precision onco… (2019)Artificial intelligence in di…
7 of 7 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Random Forests2001131,109
Support-vector networks199541,028
Support-Vector Networks199533,914
Conditional Random Fields as Recurrent Neural Networks20152,437

What cites it, inside the corpus

PaperYearCited
Machine Learning in Medicine20194,382
Clinical-grade computational pathology using weakly supervised deep learning on whole sli…20192,803
Artificial intelligence in digital pathology — new tools for diagnosis and precision onco…20191,680

Links

DOI · Open access copy · OpenAlex record

Topics

AI in cancer detectionComputer Science
Breast Cancer Treatment StudiesBiochemistry, Genetics and Molecular Biology
Breast Lesions and CarcinomasMedicine

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports68 author record(s) attached.
  • supports41 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…