Invention Application
- Patent Title: METHODS AND SYSTEMS FOR DETECTING ACQUISITION ERRORS IN MEDICAL IMAGES
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Application No.: US17207598Application Date: 2021-03-19
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Publication No.: US20220245795A1Publication Date: 2022-08-04
- Inventor: Preetham Putha , Manoj Tadepalli , Bhargava Reddy , Tarun Raj , Ammar Jagirdar , Pooja Rao , Prashant Warier
- Applicant: Qure.ai Technologies Private Limited
- Applicant Address: IN Mumbai
- Assignee: Qure.ai Technologies Private Limited
- Current Assignee: Qure.ai Technologies Private Limited
- Current Assignee Address: IN Mumbai
- Priority: IN202121004906 20210204
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06K9/62 ; G06N3/08 ; G06N3/04

Abstract:
This disclosure generally pertains to methods and systems for automatically detecting acquisition errors in a medical image using machine learning. Certain embodiments relate to methods for the development of deep learning algorithms that perform machine recognition of specific features and conditions in imaging and other medical data. Another embodiment provides systems for detecting acquisition errors in an X-ray image, the system comprising a non-transitory computer-readable medium storing a preprocessing quality control module that, when executed by at least one electronic processor, is configured to generate associated classifications identifying characteristics of the medical image.
Public/Granted literature
- US11508065B2 Methods and systems for detecting acquisition errors in medical images Public/Granted day:2022-11-22
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