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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...

Whakaahuatanga katoa

I tiakina i:
Ngā kaituhi matua: 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
Hōputu: Artigo
Reo:Inglês
I whakaputaina: IEEE 2024-01-01
Rangatū:IEEE Access
Ngā marau:
Clinical markers
deep learning
demographic markers
hormonal therapy
pathology markers
prostate cancer
Urunga tuihono:https://ieeexplore.ieee.org/document/10810275/
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