A deep learning application that achieves brains with cancer, tumors, and aneurysms.
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Updated
Jan 18, 2024 - Jupyter Notebook
A deep learning application that achieves brains with cancer, tumors, and aneurysms.
Correlation Between IBSI Morphological Features and Manually-Annotated Shape Attributes on Lung Lesions at CT (MIUA 2022)
a 2D U-Net for CT chamber segmentation
Python Implementation of Computed Tomography (CT) reconstruction for 2D images
Computed tomography simulator in JavaFX
3D CT thymic epithelial tumor segmentation
A registration-based segmentation pipeline for human mandible extraction from CT images
Checks for differences between two log files generated by the Bruker SkyScan 1272 microCT
Code and reference images for the Deep Capsule Prior experiments
Screening for COVID-19 Infections using CT (Computed Tomography) and Chest X-Ray (CXR) images
Synchrotron microCT scans for Cultural Heritage research at SESAME BEATS
This repository includes necessary files for creation and processing of projections, aquiered by the RaspCT.
An implicit neural representation framework to correct motion artifacts from CT. Author: Zhennong Chen, PhD
A Python library for analyzing and simulating observations from computed tomography imaging spectrographs (CTIS).
Dissertation project in machine learning for image reconstructions in Computed Tomography
Scripts for my master thesis.
Result of my Master's Thesis. The Simulator implements physical models, device components and reconstruction algorithms.
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