Results 1 to 10 of about 2,545,663 (120)
TIAToolbox as an end-to-end library for advanced tissue image analytics
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 +13 more
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Inexact and Stochastic Generalized Conditional Gradient with Augmented Lagrangian and Proximal Step [PDF]
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 +2 more
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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 +9 more
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Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos
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 +11 more
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Fluoroless intravascular ultrasound image-guided liver navigation in porcine models
Background An intravascular ultrasound catheter (IVUSc) was developed for intracardiac ultrasound to assess interventions with compelling results.
Takeshi Urade +6 more
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Multi-Scale Feature Channel Attention Generative Adversarial Network for Face Sketch Synthesis
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 +4 more
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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 +8 more
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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 +11 more
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Background and purposeColorectal cancer is a common fatal malignancy, the fourth most common cancer in men, and the third most common cancer in women worldwide.
Liyu Shi +18 more
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Inferring causal relations from observational long-term carbon and water fluxes records
Land, atmosphere and climate interact constantly and at different spatial and temporal scales. In this paper we rely on causal discovery methods to infer spatial patterns of causal relations between several key variables of the carbon and water cycles ...
Emiliano Díaz +4 more
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