Caen, France

Françoise Galateau Salle


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Françoise Galateau Salle: Innovator in Mesothelioma Detection

Introduction

Françoise Galateau Salle is a notable inventor based in Caen, France. He has made significant contributions to the field of medical imaging, particularly in the detection and prognosis of mesothelioma. His innovative approach combines advanced technology with medical expertise to enhance patient outcomes.

Latest Patents

Françoise Galateau Salle holds a patent for "Systems and methods for mesothelioma feature detection and enhanced prognosis or response to treatment." This patent describes a method and apparatus that classifies mesothelioma images. The device segments the mesothelioma image into a region of interest, which contains useful classification information, and a background region by applying a first convolutional neural network. Additionally, the device tiles the region of interest into a set of tiles. For each tile, a feature vector is extracted using a second convolutional neural network, where the features represent local descriptors of the tile. The device then processes these extracted feature vectors to classify the image effectively.

Career Highlights

Throughout his career, Françoise Galateau Salle has worked with prominent companies in the medical technology sector, including Owkin, Inc. and Owkin France Sas. His work has focused on leveraging artificial intelligence to improve diagnostic processes in healthcare.

Collaborations

He has collaborated with notable professionals in the field, including Gilles Wainrib and Thomas Clozel. Their combined expertise has contributed to the advancement of innovative solutions in medical imaging.

Conclusion

Françoise Galateau Salle's contributions to mesothelioma detection exemplify the intersection of technology and healthcare. His innovative patent and collaborations highlight the importance of advancements in medical imaging for improving patient care.

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