Concepedia

Learning to detect lymphocytes in immunohistochemistry with deep learning

Żaneta Świderska-Chadaj, Hans Pinckaers, Mart van Rijthoven, Maschenka Balkenhol, Margarita Melnikova, Oscar Geessink, Quirine F. Manson, Mark E. Sherman, António Polónia, Jeremy Parry,

Medical Image Analysis · 2019 · 170 citations · 29 references

Open access

Concepts

ComputingComputer ScienceImmunologyCancer ImmunologyCellular ImmunologyMachine LearningAntigen RecognitionDeep LearningImmunohistochemistryNeural NetworksRepresentation LearningTumor-infiltrating LymphocytesConvolutional Neural Network Detection

References

29

The Measurement of Observer Agreement for Categorical Data

J. Richard Landis, Gary G. Koch · Biometrics · 1977 · 78.9K citations · Full text

Public Health, Biostatistics, Categorical Data Analysis +12

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Shaoqing Ren, Kaiming He, Ross Girshick et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2016 · 54.2K citations

Computing, Computer Science, Computer Vision +14

Fully convolutional networks for semantic segmentation

Jonathan Long, Evan Shelhamer, Trevor Darrell · 2015 · 36.9K citations

Computing, Computer Science, Computer Vision +13

A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2024 · 14.3K citations · Full text

Computing, Computer Engineering, Computer Science +7

Dermatologist-level classification of skin cancer with deep neural networks

Andre Esteva, Brett Kuprel, Roberto A. Novoa et al. · Nature · 2017 · 13.8K citations · Full text

Computing, Computer Science, Dermatology +16