Papers on “medical image segmentation”
Research on “medical image segmentation” in the 480 tracked journals: papers per year and category, the journals, institutions and countries publishing it, the keywords studied with it and its most-cited papers. It is not among the most frequent keywords of the last 30 days, so this page has no list of its latest papers. Also as Markdown.
← Top research keywords · Keyword trends
Key findings#
- From 2017 to 2026 (so far), the keyword “medical image segmentation” appeared in 881 papers in the tracked journals, most of them in AI (870), statistics (5) and operations research (2).
- 222 of them were published in 2025, against 8 in 2017.
- Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (34), Fudan University (26) and Sichuan University (20).
- The journals publishing most of them were Medical Image Analysis (115), Expert Systems with Applications (103) and Pattern Recognition (80).
- The most-cited of them is “MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation” (Neural Networks, 2019), with 2,329 citations.
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 8 | 8 | 15 | 44 | 50 | 77 | 78 | 156 | 219 | 215 |
| Statistics | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 |
| Operations Research | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| Information Systems | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| Higher Education and Research | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Management | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All categories | 8 | 8 | 18 | 44 | 52 | 78 | 79 | 156 | 222 | 216 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | Medical Image Analysis | 115 |
| 2 | Expert Systems with Applications | 103 |
| 3 | Pattern Recognition | 80 |
| 4 | Knowledge-Based Systems | 61 |
| 5 | Neural Networks | 51 |
| 6 | Applied Intelligence | 34 |
| 7 | Neural Computing and Applications | 29 |
| 8 | Information Fusion | 29 |
| 9 | Image and Vision Computing | 21 |
| 10 | Computer Vision and Image Understanding | 18 |
| # | Institution | Papers |
|---|---|---|
| 1 | Chinese Academy of Sciences | 34 |
| 2 | Fudan University | 26 |
| 3 | Sichuan University | 20 |
| 4 | University of Electronic Science and Technology of China | 20 |
| 5 | Shenzhen Institutes of Advanced Technology | 17 |
| 6 | Anhui University | 16 |
| 7 | Hong Kong University of Science and Technology | 16 |
| 8 | Northwestern Polytechnical University | 16 |
| 9 | Sun Yat-sen University | 16 |
| 10 | Zhejiang University | 15 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 503 |
| 2 | United States | 70 |
| 3 | United Kingdom | 64 |
| 4 | Hong Kong | 37 |
| 5 | Australia | 35 |
| 6 | India | 30 |
| 7 | Singapore | 22 |
| 8 | France | 21 |
| 9 | Germany | 19 |
| 10 | Canada | 18 |
| # | Keyword | Papers |
|---|---|---|
| 1 | U-Net | 62 |
| 2 | semi-supervised learning | 53 |
| 3 | brain tumor segmentation | 50 |
| 4 | skin lesion segmentation | 47 |
| 5 | multi-scale feature fusion | 40 |
| 6 | pseudo-labeling | 38 |
| 7 | attention mechanism | 34 |
| 8 | Mamba | 30 |
| 9 | encoder-decoder architecture | 30 |
Most-cited papers#
Cite this page
Scholar4AI. (2026). Papers on “medical image segmentation”. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/keywords/medical-image-segmentation
@misc{scholar4ai-keywords-medical-image-segmentation,
author = {{Scholar4AI}},
title = {Papers on “medical image segmentation”},
year = {2026},
howpublished = {\url{https://scholar4ai.com/keywords/medical-image-segmentation}},
urldate = {2026-11-05},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}