The objective of this course is to provide students the knowledge of artificial intelligence processing approaches to breast cancer detection. Students will take quizzes and participate in discussion sessions to re-enforce critical concepts conveyed in the modules. Reading assignments, including journal papers to understand the topics in the modules, will be provided.
ofrecido por
Artificial Intelligence for Breast Cancer Detection
Universidad Johns HopkinsAcerca de este Curso
5618 vistas recientes
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Prior courses of object classification and signal processing are recommended, but not required.
Aprox. 15 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
Breast Imaging; AI Processing Paradigm; Performance Assessment Metrics
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Prior courses of object classification and signal processing are recommended, but not required.
Aprox. 15 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad Johns Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Programa - Qué aprenderás en este curso
3 horas para completar
Introduction to Breast Cancer and Breast Imaging
In module 1, you will be introduced to breast cancer epidemiology and approaches to breast cancer imaging.
3 horas para completar
5 videos (Total 25 minutos), 2 lecturas, 4 cuestionarios
4 horas para completar
Introduction of Artificial Intelligence
In Module 2, we will introduce the history of AI and the key elements and approaches. We will also define the assessment methods of AI classification performance
4 horas para completar
4 videos (Total 37 minutos)
3 horas para completar
Mammographic Abnormalities
In this module, we will review common abnormalities identified on breast imaging in order to pave the way to thinking about using AI in detection.
3 horas para completar
4 videos (Total 14 minutos), 6 lecturas, 4 cuestionarios
4 horas para completar
AI Applications to Breast Cancer Detection
In this module, we will explore two major AI approaches which are applicable to the breast cancer detection.
4 horas para completar
4 videos (Total 44 minutos), 1 lectura, 4 cuestionarios
Reseñas
Principales reseñas sobre ARTIFICIAL INTELLIGENCE FOR BREAST CANCER DETECTION
por HP3 de oct. de 2021
The session was indeed informative and as best as it could've been. I am glad to be a participant and look forward to learn.
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