Other AI tools have been developed for cancer screenings, however, those tools used static images. iSeg uses 3D imagery for a deeper understanding of the tumor, including how it moves as a patient ...
Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using unlabeled ...
Through a comprehensive evaluation of model complexity and number of parameters, it was determined that the overall performance of the proposed model is the best when eight group convolutions are used ...
Bridging the digital literacy gap: Empowering patients and care partners through the Digital Sherpa program. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...
Researchers at Northwestern University have developed a three-dimensional deep learning model that can match the performance of radiation oncologists in identifying and outlining lung tumors on ...
CHICAGO --- In radiation therapy, precision can save lives. Oncologists must carefully map the size and location of a tumor before delivering high-dose radiation to destroy cancer cells while sparing ...
Novel Generative Recurrent Neural Network Framework to Produce Accurate, Applicable, and Deidentified Synthetic Medical Data for Patients With Metastatic Cancer Efforts to use growing volumes of ...
Scientists have developed a revolutionary new AI tool which, according to a new study, may become crucial in lung cancer screening and treatment. The study, published in the journal npj Precision ...
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