Convolutional neural networks for semantic segmentation of Substantia Nigra in mid-brain
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Updated
Dec 27, 2023 - Python
Medical imaging is the technique and process of creating visual representations of the interior of a body for clinical analysis, and medical intervention.
Convolutional neural networks for semantic segmentation of Substantia Nigra in mid-brain
API for multi-class classification of ultrasound images. The JSON response allows to print the probability of each class
Presentation of the work done in the Master Thesis
33rd BMVC accepted paper
An rp2040-based acquisition board for pulse-echo ultrasound
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Ultrasound Image Segmentation
Ultrasound video images processing. Artery-Vein Segmentation using region growing, thresholding, mathematical morphology and active contour techniques. Visualization of an artery-vein diameter variation in a period of time.
This repository contains all the work produced by Alkinoos Sarioglou (asarioglou@student.ethz.ch) during the semester project in FS2021 at the Integrated Systems Laboratory of ETH Zurich using Python and SystemVerilog
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A Python wrapper for the ultrasound simulator Field II with added functionality for simulating tissue absolute backscattering coefficient
Breast cancer malignancy and subtype prediction tool
Creating a scanline from ultrasound echo data using beamforming.