The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 29, 2024

Filed:

Jun. 10, 2022
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Manu Sheoran, Noida, IN;

Meghal Dani, Noida, IN;

Monika Sharma, Noida, IN;

Lovekesh Vig, Noida, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06V 10/25 (2022.01); G06V 10/26 (2022.01); G06V 10/44 (2022.01); G06V 10/778 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06V 10/25 (2022.01); G06V 10/26 (2022.01); G06V 10/454 (2022.01); G06V 10/778 (2022.01); G06T 2207/10081 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/032 (2022.01); G06V 2201/07 (2022.01);
Abstract

State of the art deep network based Universal Lesion Detection (ULD) techniques inherently depend on large number of datasets for training the systems. Moreover, these system are specifically trained for lesion detection in organs of a Region of interest (RoI) of a body. Thus, requires retraining when the RoI varies. Embodiments herein disclose a method and system for domain knowledge augmented multi-head attention based robust universal lesion detection. The method utilizes minimal number of Computer Tomography (CT) scan slices to extract maximum information using organ agnostic HU windows and a convolution augmented attention module for a computationally efficient ULD with enhanced prediction performance.


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