Deep learning applications in oncology: an half-time review
Do you want to support young researchers? Welcome to our research seminars at the Department of Biomedical Engineering and Health Systems, MTH. Take the opportunity to ask questions to the Ph. D. students; it helps us move forward!
Time: Wed 2023-10-18 13.00 - 13.45
Location: Rum 7320 eller Zoom
Video link: https://kth-se.zoom.us/j/69871163066
Language: English
Participating: Simone Bendazzoli, Biomedical Signal Processing
Contact:
Subject area: MTH's Research Seminars
Abstract
The advent of AI in the medical field has guided in a paradigm shift in how we perceive and practice traditional medicine. Within the oncological field, AI presents a vast landscape of opportunities, particularly in the realms of precise diagnosis and individualized treatment planning, which are crucial for enhancing the overall survival rates of cancer patients.
Across the entire PhD research, the primary objective is to explore, develop, and propose novel techniques and strategies that facilitate the integration of AI within the domain of oncology.
The ultimate goal is to advance early tumor detection and optimize the treatment strategies, ultimately contributing to improved patient care and outcomes.