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Biopsy-based diagnostic platform for determining subtype and malignancy of renal cancers
Abstract
USC scientists have built a predictive cancer classification model using 697 DNA methylation profiles that can distinguish between six different sub-types of kidney tumors. They have validated the DNA methylation dependent classifier in 272 ex-vivo needle...
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Diagnostics: Renal tumors
Abstract
Researchers at USC have developed a radiomics model that calculates a radiomics score to detect the probability of cancer from clinical imaging. This was successfully demonstrated with patients that presented an unknown kidney mass. USC researchers found that the radiomics score was significantly associated with...
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Lightweight segmentation for prostate MRI analysis.
Enhances interpretability and transparency through a non-black-box architecture.
Eliminates dependence on large annotated training datasets.
Abstract
This technology enables accurate, automated prostate MRI segmentation using a lightweight, feedforward encoder-decoder architecture. It employs...
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