Results 1 to 10 of about 835,054 (237)

Trainable joint bilateral filters for enhanced prediction stability in low-dose CT

Scientific Reports, 2022
Low-dose computed tomography (CT) denoising algorithms aim to enable reduced patient dose in routine CT acquisitions while maintaining high image quality.
Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas Maier   +9 more
doaj   +1 more source

Pattern Recognition in Bioinformatics [PDF]

BioMed Research International, 2016
Every accumulation of data in its raw form holds obscure patterns. Pattern recognition deals with the science of transforming and classifying entities on the basis of these patterns. It is a vast field as it deals with data from diverse sources. Data can be of single dimensional nature as in case of stock exchanges and sound, two-dimensional as in case
Sher Afzal Khan, Daojing He, Jose C. Valverde   +2 more
openaire   +4 more sources

Scene text removal via cascaded text stroke detection and erasing

Computational Visual Media, 2021
Recent learning-based approaches show promising performance improvement for the scene text removal task but usually leave several remnants of text and provide visually unpleasant results.
Xuewei Bian, Chaoqun Wang, Weize Quan, Juntao Ye, Xiaopeng Zhang, Dong-Ming Yan   +5 more
doaj   +1 more source

Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images

Scientific Reports, 2021
In this study, we propose a novel point cloud based 3D registration and segmentation framework using reinforcement learning. An artificial agent, implemented as a distinct actor based on value networks, is trained to predict the optimal piece-wise linear
Xia Zhong, Mario Amrehn, Nishant Ravikumar, Shuqing Chen, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas Maier   +8 more
doaj   +1 more source

An fMRI Dataset for Concept Representation with Semantic Feature Annotations

Scientific Data, 2022
The neural representation of concepts is a focus of many cognitive neuroscience studies. Prior works studying concept representation with neural imaging data have been largely limited to concrete concepts. The use of relatively small and constrained sets
Shaonan Wang, Yunhao Zhang, Xiaohan Zhang, Jingyuan Sun, Nan Lin, Jiajun Zhang, Chengqing Zong   +6 more
doaj   +1 more source

A synchronized multimodal neuroimaging dataset for studying brain language processing

Scientific Data, 2022
Measurement(s) functional brain measurement • Magnetoencephalography Technology Type(s) Functional Magnetic Resonance Imaging • Magnetoencephalography Factor Type(s) naturalistic stimuli listening Sample Characteristic - Organism ...
Shaonan Wang, Xiaohan Zhang, Jiajun Zhang, Chengqing Zong   +3 more
doaj   +1 more source

DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types

BMC Medical Genomics, 2020
Background Breast cancer is a collection of multiple tissue pathologies, each with a distinct molecular signature that correlates with patient prognosis and response to therapy.
Adham Beykikhoshk, Thomas P. Quinn, Samuel C. Lee, Truyen Tran, Svetha Venkatesh   +4 more
doaj   +1 more source

A Convolutional Neural Network for Nonrigid Structure from Motion

International Journal of Digital Multimedia Broadcasting, 2022
In this study, we propose a reconstruction and optimization neural network (RONN), a novel neural network for nonrigid structure from motion, which is completed by an unsupervised convolution neural network.
Yaming Wang, Xiangyang Peng, Wenqing Huang, Meiliang Wang   +3 more
doaj   +1 more source

Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data

Scientific Reports, 2022
With the rise and ever-increasing potential of deep learning techniques in recent years, publicly available medical datasets became a key factor to enable reproducible development of diagnostic algorithms in the medical domain.
Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier   +5 more
doaj   +1 more source

A principled representation of elongated structures using heatmaps

Scientific Reports, 2023
The detection of elongated structures like lines or edges is an essential component in semantic image analysis. Classical approaches that rely on significant image gradients quickly reach their limits when the structure is context-dependent, amorphous ...
Florian Kordon, Michael Stiglmayr, Andreas Maier, Celia Martín Vicario, Tobias Pertlwieser, Holger Kunze   +5 more
doaj   +1 more source