Mark Schiffman (United States of America)
Intramural Research Program Clinical Genetics
Presenter of 1 Presentation
Use of Deep Learning into Cervical Cancer Screening (ID 109)
Session Time
10:30 - 12:05
Session Type
Plenary Session
Lecture Time
11:03 - 11:33
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Moderator of 1 Session
Session Type
Public Health Oral Session
Session Time
07:45 - 08:35
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Artificial intelligence approaches in cervical cancer screening","presenter":"Wen Chen (China)","photo":""},"playlist":[{"name":"Wen Chen - IPVC20","source":"https:\/\/s3.eu-central-1.amazonaws.com\/eu-cslide-prod-recordings\/ipvc20\/27\/Wen Chen - IPVC20.mp4","source_path":"s3:\/\/eu-cslide-prod-recordings\/ipvc20\/27\/Wen Chen - IPVC20.mp4","cover":"https:\/\/s3.eu-central-1.amazonaws.com\/eu-cslide-prod-recordings\/ipvc20\/27\/99BFCC46.jpg","data":[],"tracks":[],"chapters":"https:\/\/s3.eu-central-1.amazonaws.com\/eu-cslide-prod-recordings\/ipvc20\/27\/Wen Chen - IPVC20.vtt"}]},{"name":"DEEP-LEARNING-BASED EVALUATION OF DUAL STAIN CYTOLOGY IMPROVES ACCURACY AND EFFICIENCY OF CERVICAL CANCER SCREENING \u003Csmall\u003E(ID 1347)\u003C\/small\u003E","mode":"playlist","public":true,"info":{"id":1347,"presentation":"DEEP-LEARNING-BASED EVALUATION OF DUAL STAIN CYTOLOGY IMPROVES ACCURACY AND EFFICIENCY OF CERVICAL CANCER SCREENING \u003Csmall\u003E(ID 1347)\u003C\/small\u003E","session":"Oral Session 3: SCREENING I. 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Artificial intelligence approaches in cervical cancer screening","presenter":"David Levitz (Israel)","photo":""},"playlist":[{"name":"INITIAL RESULTS OF AUTOMATED VISUAL EVALUATION OF CERVICAL IMAGES FROM REAL-WORLD GLOBAL SOURCES","source":"https:\/\/s3.eu-central-1.amazonaws.com\/eu-cslide-prod-recordings\/ipvc20\/27\/IPVC 20 - P853 - S740 - David Levitz .mp4","source_path":"s3:\/\/eu-cslide-prod-recordings\/ipvc20\/27\/IPVC 20 - P853 - S740 - David Levitz .mp4","cover":"https:\/\/s3.eu-central-1.amazonaws.com\/eu-cslide-prod-recordings\/ipvc20\/27\/C8998E8B.jpg","data":[],"tracks":[],"chapters":"https:\/\/s3.eu-central-1.amazonaws.com\/eu-cslide-prod-recordings\/ipvc20\/27\/IPVC 20 - P853 - S740 - David Levitz .vtt"}]},{"name":"THE PREDICTIVE VALUE OF THE HUMAN GENE METHYLATION CLASSIFIER TO TRIAGE SELF-SAMPLING HPV POSITIVE WOMEN \u003Csmall\u003E(ID 897)\u003C\/small\u003E","mode":"playlist","public":true,"info":{"id":897,"presentation":"THE PREDICTIVE VALUE OF THE HUMAN GENE METHYLATION CLASSIFIER TO TRIAGE SELF-SAMPLING HPV POSITIVE WOMEN \u003Csmall\u003E(ID 897)\u003C\/small\u003E","session":"Oral Session 3: SCREENING I. Artificial intelligence approaches in cervical cancer screening","presenter":"Li Zhang (China)","photo":""},"playlist":[{"name":"THE PREDICTIVE VALUE OF THE HUMAN GENE METHYLATION CLASSIFIER TO TRIAGE SELF-SAMPLING HPV POSITIVE W","source":"https:\/\/s3.eu-central-1.amazonaws.com\/eu-cslide-prod-recordings\/ipvc20\/27\/Li Zhang - IPVC20 - 897 - THE PREDICTIVE VALUE OF THE HUMAN GENE METHYLATION CLASSIFIER TO TRIAGE SELF-SAMPLING HPV POSITIVE WOMEN.mp4","source_path":"s3:\/\/eu-cslide-prod-recordings\/ipvc20\/27\/Li Zhang - IPVC20 - 897 - THE PREDICTIVE VALUE OF THE HUMAN GENE METHYLATION CLASSIFIER TO TRIAGE SELF-SAMPLING HPV POSITIVE WOMEN.mp4","cover":"https:\/\/s3.eu-central-1.amazonaws.com\/eu-cslide-prod-recordings\/ipvc20\/27\/6465214F.jpg","data":[],"tracks":[],"chapters":"https:\/\/s3.eu-central-1.amazonaws.com\/eu-cslide-prod-recordings\/ipvc20\/27\/Li Zhang - IPVC20 - 897 - THE PREDICTIVE VALUE OF THE HUMAN GENE METHYLATION CLASSIFIER TO TRIAGE SELF-SAMPLING HPV POSITIVE WOMEN.vtt"}]}]
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