Predicting carbon nanotube forest attributes and mechanical properties using simulated images and deep learning
Understanding and controlling the self-assembly of vertically oriented carbon nanotube
(CNT) forests is essential for realizing their potential in myriad applications. The governing …
(CNT) forests is essential for realizing their potential in myriad applications. The governing …
Predicting mechanical properties of carbon nanotube (cnt) images using multi-layer synthetic finite element model simulations
We present a pipeline for predicting mechanical properties of vertically-oriented carbon
nanotube (CNT) forest images using a deep learning model for artificial intelligence (AI) …
nanotube (CNT) forest images using a deep learning model for artificial intelligence (AI) …
Multi-expert deep networks for multi-disease detection in retinal fundus images
L Lyu, IE Toubal, K Palaniappan - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
Automatic diagnosis of eye diseases from retinal fundus images is quite challenging.
Common public datasets include images of subjects with multiple diseases with uneven …
Common public datasets include images of subjects with multiple diseases with uneven …
Unsupervised learning method for plant and leaf segmentation
NM Al-Shakarji, YM Kassim… - 2017 IEEE applied …, 2017 - ieeexplore.ieee.org
Plant phenotyping is a recent application of computer vision in agriculture and food security.
To automatically recognize plants species, we need first to extract the plant and associated …
To automatically recognize plants species, we need first to extract the plant and associated …
Deep U-Net regression and hand-crafted feature fusion for accurate blood vessel segmentation
Automated curvilinear image segmentation is a crucial step to characterize and quantify the
morphology of blood vessels across scale. We propose a dual pipeline RF_OFB+ U-NET …
morphology of blood vessels across scale. We propose a dual pipeline RF_OFB+ U-NET …
HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests
Human epithelial (HEp-2) cell specimens are obtained from indirect immunofluorescence
(IIF) imaging for diagnosis and management of autoimmune diseases. Analysis of HEp2 …
(IIF) imaging for diagnosis and management of autoimmune diseases. Analysis of HEp2 …
Estrogen-dependent changes in dura mater microvasculature add new insights to the pathogenesis of headache
The pathogenesis of headaches is a matter of ongoing discussion of two major theories
describing it either as a vascular phenomenon resulting from vasodilation or primarily as a …
describing it either as a vascular phenomenon resulting from vasodilation or primarily as a …
Microvasculature segmentation of arterioles using deep CNN
Segmenting microvascular structures is an important requirement in understanding
angioadaptation by which vascular networks remodel their morphological structures …
angioadaptation by which vascular networks remodel their morphological structures …
Creating semi-Quanta multi-layer synthetic CNT images using CycleGAN
K Safavigerdini, R Surya, A Reinhard… - 2023 IEEE Applied …, 2023 - ieeexplore.ieee.org
We address the challenge of creating semi-Quanta images of vertically-oriented carbon
nanotubes (CNT). Our previous method, CNTNeXt, successfully predicted the mechanical …
nanotubes (CNT). Our previous method, CNTNeXt, successfully predicted the mechanical …
Complex non-sinus-associated pachymeningeal lymphatic structures: interrelationship with blood microvasculature
The contribution of cranial dura mater vascular networks, as means for maintaining brain
fluid movement and balance, and as the source of significant initiators and/or contributors to …
fluid movement and balance, and as the source of significant initiators and/or contributors to …