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公开(公告)号:US20220292677A1
公开(公告)日:2022-09-15
申请号:US17827399
申请日:2022-05-27
Applicant: ADIUVO DIAGNOSTICS PRIVATE LIMITED
Inventor: Bala PESALA , Geethanjali RADHAKRISHNAN , Bikki KUMAR SHA , John KING
Abstract: Techniques are for detecting presence of a problematic cellular entity in a target. In an example, using an analysis model, a fluorescence-based image is analyzed. The analysis model is trained using a number of reference fluorescence-based images for detecting the presence of problematic cellular entities in targets. Based on the analysis, a problematic cellular entity present in the target is detected. To perform the detection, the analysis model is trained to differentiate between the fluorescence in the fluorescence-based image emerging from the problematic cellular entity and the fluorescence in the fluorescence-based image emerging from regions other than the problematic cellular entity.
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公开(公告)号:US20240046474A1
公开(公告)日:2024-02-08
申请号:US18487438
申请日:2023-10-16
Applicant: ADIUVO DIAGNOSTICS PRIVATE LIMITED
Inventor: Bala PESALA , Geethanjali RADHAKRISHNAN , Bikki KUMAR SHA , John KING
CPC classification number: G06T7/0012 , G06T7/50 , G06V10/17 , G06V10/60 , G06V10/82 , G06V2201/03 , G06V2201/07 , G06T2207/10064 , G06T2207/20081 , G06T2207/20084 , G06T2207/30024 , G06T2207/30088
Abstract: Techniques are for detecting presence of a problematic cellular entity in a target. In an example, using an analysis model, a fluorescence-based image is analyzed. The analysis model is trained using a number of reference fluorescence-based images for detecting the presence of problematic cellular entities in targets. Based on the analysis, a problematic cellular entity present in the target is detected. To perform the detection, the analysis model is trained to differentiate between the fluorescence in the fluorescence-based image emerging from the problematic cellular entity and the fluorescence in the fluorescence-based image emerging from regions other than the problematic cellular entity.
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