Incorporating Imaging, Clinical, Pathology, and Demographic Markers for Hormonal Therapy Prediction in Prostate Cancer

Accurately predicting the impact of hormonal therapy on Prostate Cancer (PC) lesions is paramount for effective treatment planning and monitoring. This study proposes a comprehensive framework, termed Multimodal Hormonal Therapy Response Prediction (MHTRP), that integrates Magnetic Resonance Imaging...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Ibrahim Abdelhalim, Ahmed Alksas, Hossam Magdy Balaha, Mohamed Ali Badawy, Mohamed Abou El-Ghar, Norah Saleh Alghamdi, Mohammed Asaad Ghazal, Sohail Contractor, Eric van Bogaert, Dibson Gondim, Scott Silva, Fahmi Khalifa, Ayman El-Baz
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2024-01-01
סדרה:	IEEE Access
נושאים:	Clinical markers deep learning demographic markers hormonal therapy pathology markers prostate cancer
גישה מקוונת:	https://ieeexplore.ieee.org/document/10810275/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!