Automatic specific absorption rate (SAR) prediction for hyperthermia treatment planning using deep learning method

Objective To develop a deep learning method for fast and accurate prediction of Specific Absorption Rate (SAR) distributions in the human head to support real-time hyperthermia treatment planning (HTP) of brain cancer patients.Approach We propose an encoder-decoder neural network with cross-attentio...

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Bibliografiset tiedot

Päätekijät:	Yankun Lang, Dario B. Rodrigues, Lei Ren
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Taylor & Francis Group 2025-12-01
Sarja:	International Journal of Hyperthermia
Aiheet:	Hyperthermia therapy brain cancer specific absorption rate treatment planning supervised deep learning
Linkit:	https://www.tandfonline.com/doi/10.1080/02656736.2025.2554860
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