This study aimed to evaluate the effectiveness of deep-learning models using transrectal ultrasound (TRUS) video clips in predicting prostate cancer. We manually segmented TRUS video clips from ...

Abstract: The use of deep learning in cancer detection has the potential to lead to more precise and timely diagnosis. In order to identify cancer, this study presents a deep learning-based picture ...

Breast cancer is the most prevalent and heterogeneous form of cancer affecting women worldwide. Various therapeutic strategies are in practice based on the extent of disease spread, such as surgery, ...

Note: This repository is retired and will not be ported to use TF2. However, you may use this as a reference in doing so. This paper was presented at the 2nd International Conference on Machine ...

In this era of pandemic, the future of healthcare industry has never been more exciting. Artificial intelligence and machine learning (AI & ML) present opportunities to develop solutions that cater ...

Building External Control Arms From Patient-Level Electronic Health Record Data to Replicate the Randomized IMblaze370 Control Arm in Metastatic Colorectal Cancer Building well-performing machine ...

aDepartment of Pathology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, Netherlands bDepartment of Radiology & Nuclear Medicine, Radboud Institute for Health ...