An analysis of the meso-structural damage evolution of coal using X-ray CT and a gray-scale level co-occurrence matrix method
Y Wu, D Wang, L Wang, Z Shang, C Zhu, J Wei… - International Journal of …, 2022 - Elsevier
To study the meso-damage evolution in coal under loading conditions, the industrial CT
scanning tests under the uniaxial compression condition were carried out using an industrial …
scanning tests under the uniaxial compression condition were carried out using an industrial …
Investigation of the relationship between gel strength and microstructure of surimi gel induced by dense phase carbon dioxide based on quantitative analysis
W Duan, H Qiu, KK Htwe, Q Sun, Z Han, Z Wang… - Food …, 2024 - Elsevier
The microstructure of a surimi product determines its quality. Dense phase carbon dioxide
(DPCD) can induce surimi gel formation, and the gel strength of the product are significantly …
(DPCD) can induce surimi gel formation, and the gel strength of the product are significantly …
FF-PCA-LDA: intelligent feature fusion based PCA-LDA classification system for plant leaf diseases
Crop leaf disease management and control pose significant impact on enhancement in yield
and quality to fulfill consumer needs. For smart agriculture, an intelligent leaf disease …
and quality to fulfill consumer needs. For smart agriculture, an intelligent leaf disease …
[HTML][HTML] Dermoscopic image classification using CNN with Handcrafted features
Globally skin cancer is one of the main cause of death in humans. Early diagnosis plays a
major role in increasing the prevention of death rate caused due to any kind of cancer …
major role in increasing the prevention of death rate caused due to any kind of cancer …
VGG‐UNet/VGG‐SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images
J Daniel, JTA Rose, FSF Vinnarasi, V Rajinikanth - Scanning, 2022 - Wiley Online Library
This research work aims to implement an automated segmentation process to extract the
endoplasmic reticulum (ER) network in fluorescence microscopy images (FMI) using …
endoplasmic reticulum (ER) network in fluorescence microscopy images (FMI) using …
A multi‐modal, multi‐atlas‐based approach for Alzheimer detection via machine learning
The use of biomarkers for early detection of Alzheimer's disease (AD) improves the accuracy
of imaging‐based prediction of AD and its prodromal stage that is mild cognitive impairment …
of imaging‐based prediction of AD and its prodromal stage that is mild cognitive impairment …
Perbandingan Akurasi Klasifikasi Citra Kayu Jati Menggunakan Metode Naive Bayes dan k-Nearest Neighbor (k-NN)
RR Waliyansyah, C Fitriyah - JEPIN (Jurnal Edukasi dan …, 2019 - jurnal.untan.ac.id
Analysis of micro-structural damage evolution of concrete through coupled X-ray computed tomography and gray-level co-occurrence matrices method
L Zhu, F Dang, Y Xue, W Ding, L Zhang - Construction and Building …, 2019 - Elsevier
Concrete CT test is an effective method used to analyze micro-structural damage evolution
of concrete under loading condition. In the CT images of different stress states in the same …
of concrete under loading condition. In the CT images of different stress states in the same …
Colon cancer prediction using 2DRCA segmentation and hybrid features on histopathology images
Since histopathological images exist in various forms, performing segmentation on these
images is tedious. While in cancer‐free colon tissue, epithelial cells generally have an …
images is tedious. While in cancer‐free colon tissue, epithelial cells generally have an …
Fluorescence microscopy image classification of 2D HeLa cells based on the CapsNet neural network
XQ Zhang, SG Zhao - Medical & biological engineering & computing, 2019 - Springer
The development of computer technology now allows the quick and efficient automatic
fluorescence microscopy generation of a large number of images of proteins in specific …
fluorescence microscopy generation of a large number of images of proteins in specific …