Hologram processing method boosts 3D image depth of focus fivefold

Researchers from the University of Tartu Institute of Physics have developed a novel method for enhancing the quality of three-dimensional images by increasing the depth of focus in holograms fivefold ...
GitHub

A production-ready implementation of instance segmentation using state-of-the-art models from PyTorch and Hugging Face Transformers.

├── src/ # Source code │ ├── instance_segmentation.py # Core segmentation implementation │ └── data_generator.py # Synthetic data generation ├── web_app/ # Web interface │ └── app.py # Streamlit ...
IEEE

A Hybrid Unsupervised-Supervised Approach to Underwater Image Segmentation Using K-Means Clustered Masks

Abstract: This research addresses the unique challenges of underwater image segmentation, such as reduced visibility, color distortion, and complex backgrounds. A key novelty of this work lies in the ...
IEEE

Semi-Supervised Medical Hyperspectral Image Segmentation Using Adversarial Consistency Constraint Learning and Cross Indication Network

Abstract: Hyperspectral imaging technology is considered a new paradigm for high-precision pathological image segmentation due to its ability to obtain spatial and spectral information of the detected ...