IEEE

U-Net for B-Scan Segmentation: Retinal Layer Detection in OCT Imaging

Abstract: Optical coherence tomography is an non-invasive imaging modality in ophthalmology that provides high-resolution tissue morphological images of the retina. Optimal layer division of the intra ...
University of Oklahoma

Python with PyTorch

If you have trouble following the instruction below, feel free to join OSCER weekly zoom help sessions. If you're doing deep learning neural network research, pytorch is now a highly recommended, ...
GitHub

run_semantic_segmentation.py

# Copyright 2022 The HuggingFace Inc. team. All rights reserved. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except ...
IEEE

Optimized KiU-Net: A Convolutional Autoencoder for Retinal Vessel Segmentation in Medical Images

Abstract: Medical image segmentation plays a central role in enhancing diagnosis, surgical planning, and treatment strategies, and in this work, the focus is on segmenting retinal vessels from color ...
GitHub

Multi-platform point cloud analysis — registration, segmentation, surface reconstruction, and feature extraction for aerial, terrestrial, and UAV LiDAR.

Point cloud tooling in Python is fragmented. laspy reads files. Open3D visualizes them. PDAL pipelines transform them. But nothing treats acquisition platform as a first-class concept — and platform ...