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...

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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
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2024-01-01
coleção:	IEEE Access
Assuntos:	Clinical markers deep learning demographic markers hormonal therapy pathology markers prostate cancer
Acesso em linha:	https://ieeexplore.ieee.org/document/10810275/
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