Manu Sheoran

Title: Innovations by Manu Sheoran in Lesion Detection

Introduction

Manu Sheoran is an accomplished inventor based in Noida, India. He has made significant contributions to the field of medical imaging, particularly in lesion detection technologies. With a total of two patents to his name, his work focuses on enhancing the accuracy and efficiency of lesion detection systems.

Latest Patents

Manu Sheoran's latest patents include a "Method and system for semi-supervised domain adaptation based universal lesion detection." This innovative approach allows for the detection of lesions across different datasets using a semi-supervised domain adaptation method, which requires very few labeled target samples. The system processes input images by extracting multi-scale feature maps and generating classification maps. It computes objectness and centerness scores for foreground pixels, ultimately detecting various multi-sized lesions using a trained few-shot adversarial lesion detector network.

Another notable patent is the "Method and system for domain knowledge augmented multi-head attention based robust universal lesion detection." This invention addresses the limitations of traditional deep network-based Universal Lesion Detection (ULD) techniques, which typically require extensive datasets for training. By utilizing minimal Computer Tomography (CT) scan slices and employing organ-agnostic HU windows, this method enhances prediction performance while maintaining computational efficiency.

Career Highlights

Manu Sheoran is currently employed at Tata Consultancy Services Limited, where he continues to innovate in the field of medical imaging. His work is characterized by a commitment to improving diagnostic accuracy and patient outcomes through advanced technology.

Collaborations

Manu collaborates with talented professionals such as Monika Sharma and Lovekesh Vig, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Manu Sheoran's contributions to lesion detection technology exemplify the impact of innovative thinking in the medical field. His patents reflect a dedication to advancing healthcare through improved diagnostic tools.