Anatomy
269 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Anatomy
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Libraries
Use these libraries to find Anatomy models and implementations
BIG-bench
Most implemented papers
Towards Robust Cardiac Segmentation using Graph Convolutional Networks
gillesvntnu/gcn_multistructure
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We propose a graph architecture that uses two convolutional rings based on cardiac anatomy and show that this eliminates anatomical incorrect multi-structure segmentations on the publicly available CAMUS dataset.
Post-acquisition image based compensation for thickness variation in microscopy section series
Serial section Microscopy is an established method for volumetric anatomy reconstruction.
A Hebbian/Anti-Hebbian Network Derived from Online Non-Negative Matrix Factorization Can Cluster and Discover Sparse Features
Despite our extensive knowledge of biophysical properties of neurons, there is no commonly accepted algorithmic theory of neuronal function.
Image-Based Correction of Continuous and Discontinuous Non-Planar Axial Distortion in Serial Section Microscopy
In serial section microscopy, the axial dimension of the volume is sampled by physically removing thin sections from the embedded specimen and subsequently imaging either the block-face or the section series.
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound
In this paper, we propose a novel method based on convolutional neural networks which can automatically detect 13 fetal standard views in freehand 2D ultrasound data as well as provide a localisation of the fetal structures via a bounding box.
Multiscale Strategies for Computing Optimal Transport
The approach is based on an adaptive multiscale decomposition of the point sets.
Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks
The proposed approach preserves high-frequency details via an adversarial loss; and it offers enhanced synthesis performance via a pixel-wise loss for registered multi-contrast images and a cycle-consistency loss for unregistered images.
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery
In this work, we present a method to automatically detect anatomical landmarks in X-ray images independent of the viewing direction.
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy
wentaozhu/AnatomyNet-for-anatomical-segmentation
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Methods: Our deep learning model, called AnatomyNet, segments OARs from head and neck CT images in an end-to-end fashion, receiving whole-volume HaN CT images as input and generating masks of all OARs of interest in one shot.
Medical Image Imputation from Image Collections
We present an algorithm for creating high resolution anatomically plausible images consistent with acquired clinical brain MRI scans with large inter-slice spacing.
