公开(公告)号：US12094117B2

公开(公告)日：2024-09-17

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

IPC: G06T7/00 ,  G01N21/64 ,  G06T7/50 ,  G06V10/10 ,  G06V10/60 ,  G06V10/82

CPC classification number: G06T7/0012 ,  G06T7/50 ,  G06V10/17 ,  G06V10/60 ,  G06V10/82 ,  G01N21/6486 ,  G06T2207/10064 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30024 ,  G06T2207/30088 ,  G06V2201/03 ,  G06V2201/07

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.

公开(公告)号：US11830190B2

公开(公告)日：2023-11-28

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

IPC: G06T7/00 ,  G06V10/10 ,  G06V10/82 ,  G06T7/50 ,  G06V10/60

CPC classification number: G06T7/0012 ,  G06T7/50 ,  G06V10/17 ,  G06V10/60 ,  G06V10/82 ,  G06T2207/10064 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30024 ,  G06T2207/30088 ,  G06V2201/03 ,  G06V2201/07

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.

公开(公告)号：US20240362781A1

公开(公告)日：2024-10-31

申请号：US18767169

申请日：2024-07-09

Applicant: ADIUVO DIAGNOSTICS PRIVATE LIMITED

Inventor： Bala Pesala ,  Geethanjali Radhakrishnan ,  Bikki Kumar Sha ,  John King

IPC: G06T7/00 ,  G01N21/64 ,  G06T7/50 ,  G06V10/10 ,  G06V10/60 ,  G06V10/82

CPC classification number: G06T7/0012 ,  G06T7/50 ,  G06V10/17 ,  G06V10/60 ,  G06V10/82 ,  G01N21/6486 ,  G06T2207/10064 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30024 ,  G06T2207/30088 ,  G06V2201/03 ,  G06V2201/07

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.