# DeepCS-TRD, a Deep Learning-based Cross-Section Tree Ring Detector

arXiv: https://arxiv.org/abs/2504.16242 · HTML: https://mlsanity.com/paper/2504.16242/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 16 references that are in the map.
- First posted on arXiv 22 Apr 2025.

## Builds on (most cited first, 5 of 5)

- [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://mlsanity.com/paper/1505.04597/) (2015)
- [U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection](https://mlsanity.com/paper/2005.09007/) (2020)
- [Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections](https://mlsanity.com/paper/2212.03022/) (2022)
- [Automatic Wood Pith Detector: Local Orientation Estimation and Robust Accumulation](https://mlsanity.com/paper/2404.01952/) (2024)
- [CS-TRD: a Cross Sections Tree Ring Detection method](https://mlsanity.com/paper/2305.10809/) (2023)

## Built on by (most cited first, 2 of 2)

- [UruDendro4: A Benchmark Dataset for Automatic Tree-Ring Detection in Cross-Section Images of Pinus taeda L](https://mlsanity.com/paper/2511.20935/) (2025)
- [TRAS: An Interactive Software for Tracing Tree Ring Cross Sections](https://mlsanity.com/paper/2605.08025/) (2026)

## Abstract (arXiv)

Here, we propose Deep CS-TRD, a new automatic algorithm for detecting tree rings in whole cross-sections. It substitutes the edge detection step of CS-TRD by a deep-learning-based approach (U-Net), which allows the application of the method to different image domains: microscopy, scanner or smartphone acquired, and species (Pinus taeda, Gleditsia triachantos and Salix glauca). Additionally, we introduce two publicly available datasets of annotated images to the community. The proposed method outperforms state-of-the-art approaches in macro images (Pinus taeda and Gleditsia triacanthos) while showing slightly lower performance in microscopy images of Salix glauca. To our knowledge, this is the first paper that studies automatic tree ring detection for such different species and acquisition conditions. The dataset and source code are available in https://github.com/hmarichal93/deepcstrd