DOTmed January 24, 2025
A deep learning model has demonstrated promising results in detecting and segmenting lung tumors on CT scans, according to a study published in Radiology.
The study highlights the challenges of accurately identifying and delineating lung tumors, a process that is essential for tracking disease progression, assessing treatment response, and planning radiation therapy. Currently, this task is performed manually by clinicians, which can be time-consuming and subject to variability.
While AI models have been explored for this purpose, earlier studies were limited by small data sets and manual inputs, often focusing on single tumors rather than the complexities of multi-tumor cases. To address these challenges, researchers used a large-scale data set of pre-radiation treatment CT simulation scans and their corresponding 3D...
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