Machine learning in prostate MRI for prostate cancer: current status and future opportunities
Advances in our understanding of the role of magnetic resonance imaging (MRI) for the
detection of prostate cancer have enabled its integration into clinical routines in the past two …
detection of prostate cancer have enabled its integration into clinical routines in the past two …
Deep learning prostate MRI segmentation accuracy and robustness: a systematic review
Purpose To investigate the accuracy and robustness of prostate segmentation using deep
learning across various training data sizes, MRI vendors, prostate zones, and testing …
learning across various training data sizes, MRI vendors, prostate zones, and testing …
nnDetection: a self-configuring method for medical object detection
Simultaneous localisation and categorization of objects in medical images, also referred to
as medical object detection, is of high clinical relevance because diagnostic decisions often …
as medical object detection, is of high clinical relevance because diagnostic decisions often …
Customized efficient neural network for COVID-19 infected region identification in CT images
Background: In the field of biomedical imaging, radiomics is a promising approach that aims
to provide quantitative features from images. It is highly dependent on accurate identification …
to provide quantitative features from images. It is highly dependent on accurate identification …
CAT-Net: A cross-slice attention transformer model for prostate zonal segmentation in MRI
Prostate cancer is the second leading cause of cancer death among men in the United
States. The diagnosis of prostate MRI often relies on accurate prostate zonal segmentation …
States. The diagnosis of prostate MRI often relies on accurate prostate zonal segmentation …
CCT-Unet: A U-shaped Network based on Convolution Coupled Transformer for Segmentation of Peripheral and Transition Zones in Prostate MRI
Y Yan, R Liu, H Chen, L Zhang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The accurate segmentation of prostate region in magnetic resonance imaging (MRI) can
provide reliable basis for artificially intelligent diagnosis of prostate cancer. Transformer …
provide reliable basis for artificially intelligent diagnosis of prostate cancer. Transformer …
A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative 64Cu-Labeled Chelator in Mouse …
The 64Cu-labeled chelator was analyzed in vivo by positron emission tomography (PET)
imaging to evaluate its biodistribution in a murine model at different acquisition times. For …
imaging to evaluate its biodistribution in a murine model at different acquisition times. For …
Automatic segmentation of uterine endometrial cancer on multi-sequence MRI using a convolutional neural network
Endometrial cancer (EC) is the most common gynecological tumor in developed countries,
and preoperative risk stratification is essential for personalized medicine. There have been …
and preoperative risk stratification is essential for personalized medicine. There have been …
Region-adaptive magnetic resonance image enhancement for improving CNN-based segmentation of the prostate and prostatic zones
Automatic segmentation of the prostate of and the prostatic zones on MRI remains one of the
most compelling research areas. While different image enhancement techniques are …
most compelling research areas. While different image enhancement techniques are …
A multi-scale channel attention network for prostate segmentation
Prostate cancer is one of the most common malignant tumors in men. Magnetic resonance
imaging (MRI) has evolved to an important tool for the diagnosis of prostate cancer …
imaging (MRI) has evolved to an important tool for the diagnosis of prostate cancer …