An overview of watershed algorithm implementations in open source libraries
AS Kornilov, IV Safonov - Journal of Imaging, 2018 - mdpi.com
Watershed is a widespread technique for image segmentation. Many researchers apply the
method implemented in open source libraries without a deep understanding of its …
method implemented in open source libraries without a deep understanding of its …
Pore-scale analysis of coal cleat network evolution through liquid nitrogen treatment: A Micro-Computed Tomography investigation
H Akhondzadeh, A Keshavarz, AZ Al-Yaseri… - International journal of …, 2020 - Elsevier
Coalbed methane extraction suffers from low permeability, and liquid nitrogen treatment has
been suggested as one of the methods to address this issue. This study thus investigates …
been suggested as one of the methods to address this issue. This study thus investigates …
Multiscale 3D phenotyping of human cerebral organoids
A Albanese, JM Swaney, DH Yun, NB Evans… - Scientific reports, 2020 - nature.com
Brain organoids grown from human pluripotent stem cells self-organize into
cytoarchitectures resembling the developing human brain. These three-dimensional models …
cytoarchitectures resembling the developing human brain. These three-dimensional models …
Coal cleat network evolution through liquid nitrogen freeze-thaw cycling
This study investigated the potential of liquid nitrogen (LN 2) freeze–thaw process in coal
fracturing, focusing on the effect of different freezing cycles. μ-Computed Tomography (μ-CT) …
fracturing, focusing on the effect of different freezing cycles. μ-Computed Tomography (μ-CT) …
PathoNet introduced as a deep neural network backend for evaluation of Ki-67 and tumor-infiltrating lymphocytes in breast cancer
F Negahbani, R Sabzi, B Pakniyat Jahromi… - Scientific reports, 2021 - nature.com
The nuclear protein Ki-67 and Tumor infiltrating lymphocytes (TILs) have been introduced as
prognostic factors in predicting both tumor progression and probable response to …
prognostic factors in predicting both tumor progression and probable response to …
A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT
Objective To investigate left atrial shape differences on CT scans of atrial fibrillation (AF)
patients with (AF+) versus without (AF−) post-ablation recurrence and whether these shape …
patients with (AF+) versus without (AF−) post-ablation recurrence and whether these shape …
DeepSeeded: Volumetric segmentation of dense cell populations with a cascade of deep neural networks in bacterial biofilm applications
Accurate and automatic segmentation of individual cell instances in microscopy images is a
vital step for quantifying the cellular attributes, which can subsequently lead to new …
vital step for quantifying the cellular attributes, which can subsequently lead to new …
Cryo-EM tomography and automatic segmentation delineate modular structures in the postsynaptic density
Postsynaptic densities (PSDs) are large protein complexes associated with the postsynaptic
membrane of excitatory synapses important for synaptic function including plasticity …
membrane of excitatory synapses important for synaptic function including plasticity …
Lessons learned using machine learning to link third body particles morphology to interface rheology
R Jaza, G Mollon, S Descartes, A Paquet… - Tribology international, 2021 - Elsevier
This paper reports a preliminary investigation on the ability of Machine Learning algorithms
to relate the morphology of third body particles to the rheology of the contact interface that …
to relate the morphology of third body particles to the rheology of the contact interface that …
Algorithms for 3D particles characterization using X-ray microtomography in proppant crush test
I Safonov, I Yakimchuk, V Abashkin - Journal of Imaging, 2018 - mdpi.com
We present image processing algorithms for a new technique of ceramic proppant crush
resistance characterization. To obtain the images of the proppant material before and after …
resistance characterization. To obtain the images of the proppant material before and after …