A quality control algorithm to fix common errors with manual segmentation of prostate
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Updated
Sep 25, 2023 - Python
A quality control algorithm to fix common errors with manual segmentation of prostate
Fully supervised, healthy/malignant prostate detection in multi-parametric MRI (T2W, DWI, ADC), using a modified 2D RetinaNet model for medical object detection, built upon a shallow SEResNet backbone.
TensorFlow implementation of our paper: "Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging [Medical Physics 2021]".
SliceTracker is a 3D Slicer extension to support the workflow of MR-guided prostate biopsies.
Python tool for stitching histopathology tissue fragments into artificial whole-mounts.
Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images
Prostate MR Image Segmentation 2012
Prostate MR Image Segmentation 2012
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