C
Clara I. Sánchez
Researcher at Radboud University Nijmegen
Publications - 95
Citations - 16196
Clara I. Sánchez is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Convolutional neural network & Optical coherence tomography. The author has an hindex of 35, co-authored 93 publications receiving 11799 citations. Previous affiliations of Clara I. Sánchez include Analysis Group & University of Valladolid.
Papers
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Journal ArticleDOI
A survey on deep learning in medical image analysis
Geert Litjens,Thijs Kooi,Babak Ehteshami Bejnordi,Arnaud Arindra Adiyoso Setio,Francesco Ciompi,Mohsen Ghafoorian,Jeroen van der Laak,Bram van Ginneken,Clara I. Sánchez +8 more
TL;DR: This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 contributions to the field, most of which appeared in the last year, to survey the use of deep learning for image classification, object detection, segmentation, registration, and other tasks.
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Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks
Arnaud Arindra Adiyoso Setio,Francesco Ciompi,Geert Litjens,Paul K. Gerke,Colin Jacobs,Sarah J. van Riel,Mathilde M. W. Wille,Matiullah Naqibullah,Clara I. Sánchez,Bram van Ginneken +9 more
TL;DR: It was showed that the proposed multi-view ConvNets is highly suited to be used for false positive reduction of a CAD system.
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Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
Geert Litjens,Clara I. Sánchez,Nadya Timofeeva,Meyke Hermsen,Iris D. Nagtegaal,Iringo Kovacs,Christina Hulsbergen van de Kaa,Peter Bult,Bram van Ginneken,Jeroen van der Laak +9 more
TL;DR: It is found that all slides containing prostate cancer and micro- and macro-metastases of breast cancer could be identified automatically while 30–40% of the slides containing benign and normal tissue could be excluded without the use of any additional immunohistochemical markers or human intervention.
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Large scale deep learning for computer aided detection of mammographic lesions
Thijs Kooi,Geert Litjens,Bram van Ginneken,Albert Gubern-Mérida,Clara I. Sánchez,Ritse M. Mann,Ard den Heeten,Nico Karssemeijer +7 more
TL;DR: A head‐to‐head comparison between a state‐of‐the art in mammography CAD system, relying on a manually designed feature set and a Convolutional Neural Network (CNN), aiming for a system that can ultimately read mammograms independently.
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Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs
Meindert Niemeijer,Bram van Ginneken,Michael J. Cree,Atsushi Mizutani,Gwenole Quellec,Clara I. Sánchez,Bob Zhang,Roberto Hornero,Mathieu Lamard,Chisako Muramatsu,Xiangqian Wu,Guy Cazuguel,Jane You,Agustín Mayo,Qin Li,Yuji Hatanaka,Béatrice Cochener,Christian Roux,Fakhri Karray,María García,Hiroshi Fujita,Michael D. Abràmoff +21 more
TL;DR: The overall results show that microaneurysm detection is a challenging task for both the automatic methods as well as the human expert, and there is room for improvement as the best performing system does not reach the performance of thehuman expert.