Results 1 to 10 of about 10,895,923 (318)

TIAToolbox as an end-to-end library for advanced tissue image analytics

Communications Medicine, 2022
Pocock, Graham et al. present TIAToolbox, a Python toolbox for computational pathology. The extendable library can be used for data loading, pre-processing, model inference, post-processing, and visualization.
Johnathan Pocock, Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Srijay Deshpande, Giorgos Hadjigeorghiou, Adam Shephard, Raja Muhammad Saad Bashir, Mohsin Bilal, Wenqi Lu, David Epstein, Fayyaz Minhas, Nasir M. Rajpoot, Shan E Ahmed Raza   +13 more
doaj   +1 more source

Hypercomplex Image- to- Image Translation

2022 International Joint Conference on Neural Networks (IJCNN), 2022
Image-to-image translation (I2I) aims at transferring the content representation from an input domain to an output one, bouncing along different target domains. Recent I2I generative models, which gain outstanding results in this task, comprise a set of diverse deep networks each with tens of million parameters.
Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello   +3 more
openaire   +3 more sources

Inexact and Stochastic Generalized Conditional Gradient with Augmented Lagrangian and Proximal Step [PDF]

Journal of Nonsmooth Analysis and Optimization, 2021
In this paper we propose and analyze inexact and stochastic versions of the CGALP algorithm developed in [25], which we denote ICGALP , that allow for errors in the computation of several important quantities.
Antonio Silveti-Falls, Cesare Molinari, Jalal Fadili   +2 more
doaj   +1 more source

An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data

IEEE Access, 2020
The main obstacle to image augmentation with Generative Adversarial Networks (GANs) is the need for a large amount of training data, but this is difficult for small datasets like Environmental Microorganisms (EMs). EM image analysis plays a vital role in
Hao Xu, Chen Li, Md Mamunur Rahaman, Yudong Yao, Zihan Li, Jinghua Zhang, Frank Kulwa, Xin Zhao, Shouliang Qi, Yueyang Teng   +9 more
doaj   +1 more source

Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos

IEEE Access, 2020
A behavior description helps analyze tiny objects, similar objects, objects with weak visual information, and objects with similar visual information. It plays a fundamental role in the identification and classification of dynamic objects in microscopic ...
Xialin Li, Chen Li, Frank Kulwa, Md Mamunur Rahaman, Wenwei Zhao, Xue Wang, Dan Xue, Yudong Yao, Yilin Cheng, Jindong Li, Shouliang Qi, Tao Jiang   +11 more
doaj   +1 more source

Fluoroless intravascular ultrasound image-guided liver navigation in porcine models

BMC Gastroenterology, 2021
Background An intravascular ultrasound catheter (IVUSc) was developed for intracardiac ultrasound to assess interventions with compelling results.
Takeshi Urade, Juan Manuel Verde, Alain García Vázquez, Konstanze Gunzert, Patrick Pessaux, Jacques Marescaux, Mariano Eduardo Giménez   +6 more
doaj   +1 more source

Image-to-Image MLP-mixer for Image Reconstruction

CoRR, 2022
Neural networks are highly effective tools for image reconstruction problems such as denoising and compressive sensing. To date, neural networks for image reconstruction are almost exclusively convolutional. The most popular architecture is the U-Net, a convolutional network with a multi-resolution architecture.
Youssef Mansour, Kang Lin, Reinhard Heckel   +2 more
openaire   +2 more sources

Multi-Scale Feature Channel Attention Generative Adversarial Network for Face Sketch Synthesis

IEEE Access, 2020
Face sketch synthesis for photos is an applied research topic and it is critical for criminal investigation. However, sketch synthesis remains some challenges because of the blur and artifacts in the generated face sketches. To mitigate these problems in
Jieying Zheng, Yahong Wu, Wanru Song, Ran Xu, Feng Liu   +4 more
doaj   +1 more source

Exploring interactions between socioeconomic context and natural hazards on human population displacement

Nature Communications, 2023
Climate change is leading to more extreme weather hazards, forcing human populations to be displaced. We employ explainable machine learning techniques to model and understand internal displacement flows and patterns from observational data alone.
Michele Ronco, José María Tárraga, Jordi Muñoz, María Piles, Eva Sevillano Marco, Qiang Wang, Maria Teresa Miranda Espinosa, Sylvain Ponserre, Gustau Camps-Valls   +8 more
doaj   +1 more source

Analysis of carotid vulnerable plaque MRI high-risk features and clinical risk factors associated with concomitant acute cerebral infarction

BMC Cardiovascular Disorders, 2023
Background This study aimed to investigate the correlation between the high-risk characteristics of high-resolution MRI carotid vulnerable plaques and the clinical risk factors and concomitant acute cerebral infarction (ACI).
Yongxiang Tang, Jinping Zhang, Weizhou Liu, Wei Jin, Shijian Li, Zhen Qian, Xiaoquan Kong, Ran Zhang, Juanjuan HU, Baolin LI, Weiming Yuan, Yifan Zhang   +11 more
doaj   +1 more source