Pierre-Francois Laquerre

Title: Pierre-Francois Laquerre: Innovator in Histological Tissue Classification

Introduction

Pierre-Francois Laquerre is a notable inventor based in North Brunswick, NJ (US). He has made significant contributions to the field of histology through his innovative patents. With a total of 2 patents, Laquerre's work focuses on computational methods for tissue classification.

Latest Patents

Laquerre's latest patents include a "Computationally Efficient Whole Tissue Classifier for Histology Slides." This invention discloses systems and methods for classifying histological tissues or specimens in two phases. The first phase involves off-line training using a processor, where classifiers are trained based on examples. This includes finding a split of features into sets of increasing computational cost and assigning a computational cost to each set. The second phase applies the classifiers to an unknown tissue sample, extracting features and making tissue-level decisions based on a current state.

Another significant patent is the "Whole Tissue Classifier for Histology Biopsy Slides." This method provides a fully automated tissue diagnosis by training a region of interest (ROI) classifier in a supervised manner. The training uses a multiple-instance learning variant of backpropagation, allowing for the extraction of feature vectors and the application of the ROI classifier to obtain probabilities. These probabilities are then used to output a final diagnosis for the whole tissue.

Career Highlights

Pierre-Francois Laquerre is currently employed at Nec Laboratories America, Inc. His work has been instrumental in advancing automated tissue diagnosis, which has significant implications for medical research and practice.

Collaborations

Laquerre has collaborated with notable colleagues, including Eric Cosatto and Christopher Malon. Their combined expertise has contributed to the development of innovative solutions in histological classification.

Conclusion

Pierre-Francois Laquerre is a distinguished inventor whose work in histological tissue classification has paved the way for advancements in automated diagnosis. His contributions continue to impact the field significantly.