Hiroshima, Japan

Shigeto Yoshida



Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Shigeto Yoshida: Innovator in Endoscopic Image Diagnosis

Introduction

Shigeto Yoshida is a prominent inventor based in Hiroshima, Japan. He has made significant contributions to the field of medical technology, particularly in endoscopic image diagnosis systems. His innovative work aims to enhance the accuracy and efficiency of pathological identification through advanced computational methods.

Latest Patents

Shigeto Yoshida holds a patent for an "Endoscopic image diagnosis support system for computing average values of identification probabilities of pathological types." This system includes a memory that stores learning images pre-classified into pathological types. The processor within the system performs feature value matching between an endoscopic image and the learning images to identify pathological types in the target region. It computes identification probabilities and average values corresponding to hierarchical overlap regions, thereby improving diagnostic accuracy.

Career Highlights

Yoshida is affiliated with Hiroshima University, where he continues to advance research in medical imaging technologies. His work has garnered attention for its potential to revolutionize the way pathologists diagnose diseases through endoscopic procedures. With a focus on integrating machine learning with medical imaging, he is at the forefront of innovation in this critical area of healthcare.

Collaborations

Shigeto Yoshida collaborates with notable colleagues, including Tetsushi Koide and HoangAnh Tuan. Their combined expertise contributes to the development of cutting-edge technologies that enhance diagnostic capabilities in medicine.

Conclusion

Shigeto Yoshida's contributions to endoscopic image diagnosis exemplify the intersection of technology and healthcare. His innovative patent and ongoing research efforts are paving the way for more accurate and efficient medical diagnostics.

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