Extraction method of texture feature of images of coal and gangue
In view of problems of less extraction feature parameters and low recognition precision existed in image processing methods of coal and gangue, an extraction method of texture feature of images of coal and gangue fused with local binary pattern and gray ...
MI Qiang, XU Yan, LIU Bin, XU Yunjie
doaj +1 more source
Optimised feature selection-driven convolutional neural network using gray level co-occurrence matrix for detection of cervical cancer. [PDF]
Sudhakar K +7 more
europepmc +1 more source
Human neutrophils exist as two epigenetically imprinted subtypes defined by stable CD177 expression or absence — a ratio that persists across time, circadian rhythms, and inflammation. CD177− neutrophils display a distinct molecular landscape enriched in arginase 1 and lipid metabolism markers, accumulate in head‐and‐neck tumors, and associate with ...
Marcel Jung +39 more
wiley +1 more source
Evaluating the Gray Level Co-Occurrence Matrix-Based Texture Features of Magnetic Resonance Images for Glioblastoma Multiform Patients' Treatment Response Assessment. [PDF]
Alibabaei S +4 more
europepmc +1 more source
Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source
An Ordinal Co-occurrence Matrix Framework for Texture Retrieval
We present a novel ordinal co-occurrence matrix framework for the purpose of content-based texture retrieval. Several particularizations of the framework will be derived and tested for retrieval purposes.
Mari Partio +2 more
doaj +1 more source
Quantitative Assessment of Hyperpigmentation Changes in Human Skin after Microneedle Mesotherapy Using the Gray-Level Co-Occurrence Matrix (GLCM) Method. [PDF]
Wawrzyk-Bochenek I +3 more
europepmc +1 more source
Optimizing Stratification in Binary Colloidal Supraparticles
Supraparticles from binary particle populations show stratification when dried at high Péclet numbers. In spray‐dried systems at high initial particle concentration and fast drying conditions optimal combinations of particle size ratios and volume fractions that produce maximal stratification are found both in experiment and simulation, contrasting the
Frederic Rudlof +5 more
wiley +1 more source
Echo intensity and gray-level co-occurrence matrix analysis of soft tissue grafting biomaterials and dental implants: an in vitro ultrasonographic pilot study. [PDF]
Mancini L +4 more
europepmc +1 more source
Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park +4 more
wiley +1 more source

