Invention Grant
US09111174B2 Machine learnng techniques for pectoral muscle equalization and segmentation in digital mammograms
有权
机器学习技术用于胸部肌肉平衡和数字乳腺X线照片的分割
- Patent Title: Machine learnng techniques for pectoral muscle equalization and segmentation in digital mammograms
- Patent Title (中): 机器学习技术用于胸部肌肉平衡和数字乳腺X线照片的分割
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Application No.: US13714111Application Date: 2012-12-13
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Publication No.: US09111174B2Publication Date: 2015-08-18
- Inventor: Jason F. Knapp , Steve W. Worrell , Aarti Raheja
- Applicant: Riverain Technologies, LLC
- Applicant Address: US OH Miamisburg
- Assignee: Riverain Technologies, LLC
- Current Assignee: Riverain Technologies, LLC
- Current Assignee Address: US OH Miamisburg
- Agency: Panitch Schwarze Belisario & Nadel LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06T7/00
Abstract:
Image analysis techniques applicable to mammograms and other types of images may include image normalization, image segmentation, forming a prediction bias image, and creating an equalized image based on the prediction bias image. Creation of the equalized image may include subtraction of the prediction bias image from the original image. Forming the prediction bias image may involve the use of trained predictors.
Public/Granted literature
- US20130223711A1 Maching Learning Techniques for Pectoral Muscle Equalization and Segmentation in Digital Mammograms Public/Granted day:2013-08-29
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