Janet Cui

Standardization of breast radiotherapy structure nomenclature using transformer-based multi-modal feature learning

Fahim Irfan Alam, Matthew Field, Daniel Al Mouiee, Phillip Chlap et autres

Standardized nomenclature for radiotherapy (RT) organs-at-risk (OARs) and target volumes (TVs) is essential for using large retrospective imaging and treatment-planning datasets. However, clinical structure names vary substantially across centres, making manual standardization time-consuming and resource-intensive. This study aims to develop a transformer-based …

PyDicer: An open-source python library for conversion and analysis of radiotherapy DICOM data

Phillip Chlap, Daniel Al Mouiee, Robert Finnegan, Janet Cui et autres

The organisation, conversion, cleaning and processing of DICOM data is an ongoing challenge across medical image analysis research projects. PyDicer (PYthon Dicom Image ConvertER) was created as a generalisable tool for use across a variety of radiotherapy research projects. This includes the …

au (code pays fourni par la source)

2167: Streamlining Radiotherapy Structure Nomenclature: A Multimodal Feature Learning Approach

Fahim Irfan Alam, Matthew Field, Daniel Al Mouiee, Phillip Chlap et autres

Pydicer: An Open-Source Python Library for Conversion and Analysis of Radiotherapy Dicom Data

Phillip Chlap, Daniel Al Mouiee, Robert Finnegan, Janet Cui et autres

au, nz (code pays fourni par la source)