AIMC Topic: Coloring Agents
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Robotic blue-dye sentinel lymph node detection for endometrial cancer - Factors predicting successful mapping.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Sep 25, 2015
OBJECTIVE: Sentinel lymph node (SLN) mapping has emerged as a viable option for the treatment of patients with endometrial cancer. We report our initial experience with SLN mapping algorithm, and examine the factors predicting successful SLN mapping.
Comparison of ultrasonic with stirrer performance for removal of sunset yellow (SY) by activated carbon prepared from wood of orange tree: artificial neural network modeling.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Nov 13, 2014
The present work focused on the removal of sunset yellow (SY) dye from aqueous solution by ultrasound-assisted adsorption and stirrer by activated carbon prepared from wood of an orange tree. Also, the artificial neural network (ANN) model was used f...
Application of neural networks with novel independent component analysis methodologies to a Prussian blue modified glassy carbon electrode array.
Talanta
Aug 13, 2014
Sodium potassium absorption ratio (SPAR) is an important measure of agricultural water quality, wherein four exchangeable cations (K(+), Na(+), Ca(2+) and Mg(2+)) should be simultaneously determined. An ISE-array is suitable for this application beca...
Artificial neural network (ANN) method for modeling of sunset yellow dye adsorption using zinc oxide nanorods loaded on activated carbon: Kinetic and isotherm study.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Jun 24, 2014
In this research, ZnO nanoparticle loaded on activated carbon (ZnO-NPs-AC) was synthesized simply by a low cost and nontoxic procedure. The characterization and identification have been completed by different techniques such as SEM and XRD analysis. ...
DFT-assisted machine learning for polyester membrane design in textile wastewater recovery applications.
Water research
Jul 1, 2025
Resource recovery from textile wastewater has attracted increasing interest because it simultaneously addresses wastewater treatment and maximizes the utilization of the residual dyes. Although polyester membranes have demonstrated great potential fo...
Machine learning approach for photocatalysis: An experimentally validated case study of photocatalytic dye degradation.
Journal of environmental management
Jun 1, 2025
In this study, machine learning (ML) models coupled with genetic algorithm (GA) and particle swarm optimization (PSO) were applied to predict the relative influence of experimental parameters of photocatalytic dye removal. Specifically, the impact of...
Chitosan-based adsorbents for remediation of toxic dyes from wastewater: A review on adsorption mechanism, reusability, machine learning based modeling and future perspectives.
International journal of biological macromolecules
Jun 1, 2025
The disposal of recalcitrant dyes in aquatic environments from various industrial sectors is a threat to both the plant and animal kingdom. The presence of dyes in various water bodies undermines the availability of uncontaminated drinking water and ...
AUGUR-AIM: Clinical validation of an artificial intelligence indocyanine green fluorescence angiography expert representer.
Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
Apr 1, 2025
AIM: Recent randomized controlled trials and meta-analyses have demonstrated a reduction in the anastomotic leak rate when indocyanine green fluorescence angiography (ICGFA) is used versus when it is not in colorectal resections. We have previously d...
Comment on "Artificial intelligence to predict oncological outcome directly from hematoxylin and eosin-stained slides in urology: a systematic review".
Minerva urology and nephrology
Dec 1, 2022
Rethinking ImageNet Pre-training for Computational Histopathology.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2022
Transfer learning from ImageNet pretrained weights is widely used when training Deep Learning models on a Histopathology dataset. However, the visual features of the two domains are different. Rather than ImageNet pretrained weights, pre-training on ...
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