Multi-unit floor plan dataset
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Updated
Nov 14, 2024 - Jupyter Notebook
Multi-unit floor plan dataset
TriDFusion (3DF) Medical Imaging Viewer
Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606
Segment Anything for Microscopy
Repository of scripts to facilitate participation in CellMap's segmentation challenge. This includes downloading data, simple setups for training 2D and 3D models, workflows for prediction and post-processing on out-of-memory arrays, and evaluation of results against validation data.
A framework for easy application of established machine learning techniques on large, multi-dimensional images.
This repository is dedicated to the segmentation of optical coherence tomography (OCT) images and the analysis of the plaques that appear on them
Annotate-lab is an open-source image annotation tool for efficient dataset creation. With an intuitive interface and flexible export options, it streamlines your machine learning workflow. 🖼️✏️📑
Open source Python library for building bioimage analysis pipelines
NLP based on Python
This repo includes codes, assignments related to EN3160:Fundamentals of Image Processing and Computer Vision module.
SAM-2 and classification model, training on ultrasonic images dataset for predicting and segmenting breast tumors
All-in-One Development Tool based on PaddlePaddle(飞桨低代码开发工具)
Multimodal Brain mpMRI segmentation on BraTS 2023 and BraTS 2021 datasets.
Multi-platform, free open source software for visualization and image computing.
MONAI Label is an intelligent open source image labeling and learning tool.
cuCIM - RAPIDS GPU-accelerated image processing library
An annotation and instance segmentation-based multiple animal tracking and behavior analysis package.
SegLoss: This repository discloses cost functions designed for the semantic segmentation tasks, namely, Active Boundary Loss, Boundary Loss and Distance Trasform Loss.
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
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