Saeed S Alahmari

Title: Saeed S. Alahmari: Inventor in Automated Stereology

Introduction

Saeed S. Alahmari is an inventor associated with Tampa, Florida. His patent work addresses automated stereology, a method for analyzing the characteristics of three-dimensional tissue using image data. The supplied information identifies 1 patent associated with him.

Latest Patents

Alahmari’s listed patent is titled “Automated Stereology for Determining Tissue Characteristics.” It describes systems and methods that use deep learning to support stereological analysis of image stacks representing a three-dimensional object.

The disclosed method can assess whether an existing deep learning model is suitable for a particular image stack, preprocess the data, and train or retune a model. The model assigns confidence scores to labels, which a user can review before selected labels are added to the training set. The trained model is then used to perform stereology analysis. The approach is intended to make model training more efficient and improve accuracy for a given dataset.

Career Highlights

The available information highlights Alahmari’s contribution to applying deep learning techniques to tissue-image analysis. His patent describes a workflow that combines automated labeling and model training with user review, supporting analysis of three-dimensional structures.

Collaborations

The supplied information lists Dmitry Goldgof and Lawrence O. Hall as Alahmari’s coworkers. Their specific roles in the patent or related work are not provided.

Conclusion

Saeed S. Alahmari’s listed patent focuses on using deep learning to make stereology analysis of three-dimensional tissue images more efficient and adaptable.