Kuan Tian
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Guizhou Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-9409-5842
- OpenAlex ID
- A5020928456as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 11
Breast mass detection from the digitized X-ray mammograms based on the combination of deep active learning and self-paced learning,
How can artificial intelligence models assist PD-L1 expression scoring in breast cancer: results of multi-institutional ring studies,
Improving Ki67 assessment concordance by the use of an artificial intelligence‐empowered microscope: a multi‐institutional ring study,
Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images,
Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model,
Large-Scale Gesture Recognition With a Fusion of RGB-D Data Based on Saliency Theory and C3D Model,
Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model,
Multicontext multitask learning networks for mass detection in mammogram
+3 more
← Authored by 11
Breast mass detection from the digitized X-ray mammograms based on the combination of deep active learning and self-paced learning,
How can artificial intelligence models assist PD-L1 expression scoring in breast cancer: results of multi-institutional ring studies,
Improving Ki67 assessment concordance by the use of an artificial intelligence‐empowered microscope: a multi‐institutional ring study,
Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images,
Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model,
Large-Scale Gesture Recognition With a Fusion of RGB-D Data Based on Saliency Theory and C3D Model,
Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model,
Multicontext multitask learning networks for mass detection in mammogram
+3 more
Affiliated with 2
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Summary
Kuan Tian is a human[1].