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公开(公告)号：US20180012360A1
公开(公告)日：2018-01-11
申请号：US15659654
申请日：2017-07-26
CPC分类号： G06T7/0014 , G02B21/365 , G06F3/03545 , G06K9/00127 , G06K9/0014 , G06K9/03 , G06K9/2081 , G06K9/6228 , G06K2209/051 , G06K2209/21 , G06T7/0012 , G06T7/11 , G06T2200/24 , G06T2207/10056 , G06T2207/30024 , G06T2207/30096 , G06T2207/30168 , G06T2207/30204
摘要： The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.
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公开(公告)号：US12067720B2
公开(公告)日：2024-08-20
申请号：US17718747
申请日：2022-04-12
IPC分类号： G06K9/00 , G06F18/211 , G06T7/00 , G06T7/11 , G06V20/69 , G02B21/36 , G06F3/0354
CPC分类号： G06T7/0012 , G06F18/211 , G06T7/0014 , G06T7/11 , G06V20/69 , G06V20/695 , G02B21/365 , G06F3/03545 , G06T2200/24 , G06T2207/10056 , G06T2207/20012 , G06T2207/30024 , G06T2207/30096 , G06T2207/30168 , G06T2207/30204 , G06V2201/031 , G06V2201/07
摘要： The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.
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公开(公告)号：US20200160519A1
公开(公告)日：2020-05-21
申请号：US16746101
申请日：2020-01-17
摘要： The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.
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公开(公告)号：US20220237796A1
公开(公告)日：2022-07-28
申请号：US17718747
申请日：2022-04-12
摘要： The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.
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公开(公告)号：US11328420B2
公开(公告)日：2022-05-10
申请号：US16746101
申请日：2020-01-17
摘要： The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.
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公开(公告)号：US10573001B2
公开(公告)日：2020-02-25
申请号：US15659654
申请日：2017-07-26
摘要： The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.
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