Background and purpose: Radiation-induced erectile dysfunction (RiED) is...
When a pre-trained general auto-segmentation model is deployed at a new
...
In the past decade, deep learning (DL)-based artificial intelligence (AI...
Automatic segmentation of anatomical structures is critical for many med...
Typically, the current dose prediction models are limited to small amoun...
In tumor segmentation, inter-observer variation is acknowledged to be a
...
Recently, artificial intelligence technologies and algorithms have becom...
This work aims to study the generalizability of a pre-developed deep lea...
In post-operative radiotherapy for prostate cancer, the cancerous prosta...
The use of neural networks to directly predict three-dimensional dose
di...
Accurate segmentation of prostate and surrounding organs at risk is impo...
The treatment planning process for patients with head and neck (H&N) can...