Our results indicate nnU-Net's remarkable accuracy for 3D segmentation of prostate glands even with limited training data, offering a simpler and faster alternative to our previous 3D gland ...

There is ongoing clinical need to improve estimates of disease outcome in prostate cancer. Machine learning (ML) approaches to pathologic diagnosis and prognosis are a promising and increasingly used ...

Dr. Neal Patel says biopsy results may not fully capture prostate cancer risk, stressing that PSA, stage and disease volume ...

"In our prior work in computational 3D pathology, we looked at specific structures such as the prostate gland network, but Tripath is our first attempt to use deep learning to extract sub-visual ...

Early on, localized tumors show no evidence of extension beyond the prostate gland. A second, “regionally advanced” form of the disease remains close to the prostate. Then there are metastatic ...

Prostate cancer-specific mortality rates 2.4 and 4.7 percent for unfavorable intermediate-risk and high-risk GG1.

Prostate cancer cases have steadily increased by 3% each year since 2014 — and now, former President Joe Biden joins the more than 300,000 people diagnosed in the U.S. this year.