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 …

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 …

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 …

Coal cleat network evolution through liquid nitrogen freeze-thaw cycling

H Akhondzadeh, A Keshavarz, FUR Awan, A Zamani… - Fuel, 2022 - Elsevier
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) …

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 …

A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT

T Atta-Fosu, M LaBarbera, S Ghose… - BMC Medical …, 2021 - Springer
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 …

DeepSeeded: Volumetric segmentation of dense cell populations with a cascade of deep neural networks in bacterial biofilm applications

TT Toma, Y Wang, A Gahlmann, ST Acton - Expert Systems with …, 2024 - Elsevier
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 …

Cryo-EM tomography and automatic segmentation delineate modular structures in the postsynaptic density

JH Jung, X Chen, TS Reese - Frontiers in Synaptic Neuroscience, 2023 - frontiersin.org
Postsynaptic densities (PSDs) are large protein complexes associated with the postsynaptic
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 …

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 …