AI in cancer detection
AI in cancer detection is a research topic within Artificial Intelligence. Science Explorer counts 43k research works in it since 1951. 23.5% of them reached the world's top 10% most cited for their field and year.
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.
- Deep Learning
- Medical Image Analysis
- Histopathology Images
- Computer-Aided Detection
- Convolutional Neural Networks
- Digital Pathology
- Breast Cancer Diagnosis
- Machine Learning
- Whole Slide Imaging
- Cancer Prognosis
- Research works
- 43k fractional, since 1951
- In the world top 10%
- 10k per year above
- Top-10% rate
- 23.5% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +175% the tick is no change
Which countries lead AI in cancer detection research?
By volume, India and China publish the most (4.2k and 3.7k works in 2022–2025).
By volume, 2022–2025
- 1 India 4.2k works
- 2 China 3.7k works
- 3 United States 2.3k works
- 4 United Kingdom 533 works
- 5 Germany 420 works
- 6 Indonesia 391 works
- 7 Türkiye 389 works
- 8 South Korea 380 works
- 9 Italy 351 works
- 10 Japan 327 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead AI in cancer detection research?
By volume in 2022–2025, Saveetha University publishes the most AI in cancer detection research, followed by Vellore Institute of Technology University and SRM Institute of Science and Technology.
By volume, 2022–2025
- 1 Saveetha UniversityIndia 158 works
- 2 Vellore Institute of Technology UniversityIndia 139 works
- 3 SRM Institute of Science and TechnologyIndia 132 works
- 4 Chitkara UniversityIndia 115 works
- 5 Amrita Vishwa VidyapeethamIndia 78 works
- 6 Chandigarh UniversityIndia 71 works
- 7 Koneru Lakshmaiah Education FoundationIndia 65 works
- 8 Graphic Era UniversityIndia 62 works
- 9 Shanghai Jiao Tong UniversityChina 58 works
- 10 Manipal Academy of Higher EducationIndia 49 works
Who are the leading researchers in AI in cancer detection?
The most-cited researchers publishing on AI in cancer detection include Yoshua Bengio, Alan Yuille and Seyedali Mirjalili.
- 1 Yoshua Bengio Canada 17k citations
- 2 Alan Yuille United States 8.4k citations
- 3 Seyedali Mirjalili Australia 7.6k citations
- 4 Trevor Darrell United States 6.7k citations
- 5 Dacheng Tao Australia 6.1k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is AI in cancer detection research done?
The largest centres of AI in cancer detection research in 2022–2025 are Chennai (India), Beijing (China), Shanghai (China) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Vijayawada.
Largest cities, 2022–2025
Where it is the local speciality
- VijayawadaIN · 98.2 works12×
Location quotient: how much more of its research is in AI in cancer detection than the world average.
Where is the best place to study AI in cancer detection?
Among universities, judged by research, Vellore Institute of Technology University, Princess Nourah bint Abdulrahman University and Saveetha University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Vellore Institute of Technology UniversityIndia | 67.9 | 27.1% | 7.8× | 140 | +1051.5% |
| 2 | Princess Nourah bint Abdulrahman UniversitySaudi Arabia | 62.7 | 58.1% | 5.0× | 24 | — |
| 3 | Saveetha UniversityIndia | 61.0 | 19.9% | 9.1× | 158 | — |
| 4 | Amrita Vishwa VidyapeethamIndia | 60.0 | 17.2% | 8.1× | 78 | +275.2% |
| 5 | Shenzhen University Health Science CenterChina | 59.3 | 51.6% | 10.3× | 10 | — |
| 6 | Chitkara UniversityIndia | 58.8 | 16.2% | 16.4× | 115 | — |
| 7 | Daffodil International UniversityBangladesh | 57.0 | 27.0% | 14.6× | 25 | — |
| 8 | Manipal Academy of Higher EducationIndia | 56.1 | 28.4% | 5.5× | 49 | +522.6% |
| 9 | Karunya UniversityIndia | 56.0 | 8.7% | 14.6× | 38 | +260.6% |
| 10 | Koneru Lakshmaiah Education FoundationIndia | 55.6 | 17.7% | 12.7× | 65 | — |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is AI in cancer detection research growing?
Output in 2018–2022 was 175% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are AI in cancer detection.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.