Research Presentation Session
AI in breast imaging
Lectures
1
RPS 605 - A deep-learning classification model for mammogram screening
03:08Ma Jie, Shenzhen / China
2
RPS 605 - Automated classification of breast calcification malignancy in mammograms with deep-learning
03:55Ma Jie, Shenzhen / China
3
RPS 605 - Use of an artificial intelligence software to identify low-likelihood of cancer exams collected across four commercial digital tomosynthesis screening systems
04:59E. Conant, Philadelphia, PA / United States
4
RPS 605 - Performance of indigenously build artificial-intelligence/machine-learning algorithm in reporting mammography: experience from a developing country
05:04R. Ananthasivan, Bangalore / India
5
RPS 605 - Automated classification of benign and malignant breast mass in digital mammograms with deep multi-task learning
03:33Ma Jie, Shenzhen / China
6
RPS 605 - Breast lesions identification employing radial basis function on mammowave clinical data
04:57S. Rana, London / UK
7
RPS 605 - BiDualNet: mammographic bilateral-view mass segmentation network
03:42Ma Jie, Shenzhen / China
8
RPS 605 - Text mining in Russian radiology reports
04:35Y. Meshalkin, Moscow / Russia
9
RPS 605 - On the ability of an AI system to detect breast cancer earlier
04:57J. Lopez, Newport Beach, CA / United States
Conflict of Interest Disclosure: Presenter: Dr. January Lopez: Nothing to disclose. Authors: Dr. Serena Pacilè: Employee: Therapixel, Nice FR and Dr. Pierre Fillard: Employee & Founder: Therapixel, Nice FR
10
RPS 605 - Value of technical stratification of medical datasets for AI services
04:37N. Pavlov, Moscow / Russia
11
RPS 605 - An image annotation software for mammography
04:21Ma Jie, Shenzhen / China