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AI in cancer detection

TopicLeading institutions, researchers & key papers

AI in cancer detection is a topic indexed in ScholarIQ from OpenAlex.

What is known about AI in cancer detection?

ScholarIQrecord summary

This cluster of papers focuses on the application of deep learning and machine learning techniques in medical image analysis, particularly in the context of histopathology images, digital pathology, and computer-aided detection for breast cancer diagnosis. The use of convolutional neural networks and whole slide imaging is prominent in these studies, aiming to improve accuracy and efficiency in cancer prognosis and prediction.

How many works does AI in cancer detection have?

ScholarIQindexed works

AI in cancer detection has 85,027 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does AI in cancer detection have?

ScholarIQcitation count

AI in cancer detection has 956,688 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for AI in cancer detection?

ScholarIQopenalex

The OpenAlex for AI in cancer detection is on the source record.

Who are the most-cited researchers behind AI in cancer detection?

ScholarIQtop researchers by citations
1
David Moher · Meta-analysis and systematic reviews
1,551 works880,672 citations
2
Kaiming He · Advanced Neural Network Applications
164 works556,612 citations
3
Yoshua Bengio · Neural Networks and Applications
1,290 works476,190 citations
4
Geoffrey E. Hinton · Neural Networks and Applications
385 works451,920 citations
5
Robert Tibshirani · Statistical Methods and Inference
1,037 works392,382 citations

Where is AI in cancer detection research published, and who funds it?

ScholarIQvenues & funding sources

TOP JOURNALS

No journal data available yet.

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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