211 citations · 415 across the 41 of their papers we have counts for
6 papers · 1 filter
Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection
Khashayar Namdar, Isha Gujrathi, Masoom A. Haider +1
Convolutional Neural Networks (CNNs) have been used for automated detection of prostate cancer where Area Under Receiver Operating Characteristic (ROC) curve (AUC) is usually used…
A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI
Saman Motamed, Isha Gujrathi, Dominik Deniffel +3
The segmentation of prostate whole gland and transition zone in Diffusion Weighted MRI (DWI) are the first step in designing computer-aided detection algorithms for prostate cancer…
Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas +3
As an analytic pipeline for quantitative imaging feature extraction and analysis, radiomics has grown rapidly in the past a few years. Recent studies in radiomics aim to investigat…
CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas +3
Cox proportional hazard model (CPH) is commonly used in clinical research for survival analysis. In quantitative medical imaging (radiomics) studies, CPH plays an important role in…
Prostate Cancer Detection using Deep Convolutional Neural Networks
Sunghwan Yoo, Isha Gujrathi, Masoom A. Haider +1
Prostate cancer is one of the most common forms of cancer and the third leading cause of cancer death in North America. As an integrated part of computer-aided detection (CAD) tool…
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas +3
Pancreatic Ductal Adenocarcinoma (PDAC) is one of the most aggressive cancers with an extremely poor prognosis. Radiomics has shown prognostic ability in multiple types of cancer i…