Results 21 to 30 of about 6,033,773 (285)

Comparative Study for Patch-Level and Pixel-Level Segmentation of Deep Learning Methods on Transparent Images of Environmental Microorganisms: From Convolutional Neural Networks to Visual Transformers

Applied Sciences, 2022
Currently, the field of transparent image analysis has gradually become a hot topic. However, traditional analysis methods are accompanied by large amounts of carbon emissions, and consumes significant manpower and material resources.
Hechen Yang, Xin Zhao, Tao Jiang, Jinghua Zhang, Peng Zhao, Ao Chen, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li   +9 more
doaj   +1 more source

Stereo image analysis using connected operators [PDF]

, 1997
Connected operators are increasingly used in image processing due to their properties of simplifying the image with various criteria, without loosing contour's information.
Garrido Ostermann, Luis, Oliveras Vergés, Albert, Salembier Clairon, Philippe Jean   +2 more
core   +1 more source

Spatiotemporal Barcodes for Image Sequence Analysis [PDF]

, 2015
Taking as input a time-varying sequence of two-dimensional (2D) binary images, we develop an algorithm for computing a spatiotemporal 0–barcode encoding lifetime of connected components on the image sequence over time.
González Díaz, Rocío, Jiménez Rodríguez, María José, Medrano Garfia, Belén   +2 more
core   +1 more source

Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning

IEEE Access, 2019
In this paper, a novel multilayer hidden conditional random fields (MHCRFs)-based cervical histopathology image classification (CHIC) model is proposed to classify well, moderate and poorly differentiation stages of cervical cancer using a weakly ...
Chen Li, Hao Chen, Le Zhang, Ning Xu, Dan Xue, Zhijie Hu, He Ma, Hongzan Sun   +7 more
doaj   +1 more source

Atmospheric Correction for High-Resolution Shape from Shading on Mars

Journal of Imaging, 2022
Digital Elevation Models (DEMs) of planet Mars are crucial for many remote sensing applications and for landing site characterization of rover missions.
Marcel Hess, Moritz Tenthoff, Kay Wohlfarth, Christian Wöhler   +3 more
doaj   +1 more source

Brain Imaging Analysis [PDF]

Annual Review of Statistics and Its Application, 2014
The increasing availability of brain imaging technologies has led to intense neuroscientific inquiry into the human brain. Studies often investigate brain function related to emotion, cognition, language, memory, and responses to numerous other external stimuli, as well as resting-state brain function.
openaire   +2 more sources

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification

IEEE Access, 2020
In recent years, researches are concentrating on the effectiveness of Transfer Learning (TL) and Ensemble Learning (EL) techniques in cervical histopathology image analysis.
Dan Xue, Xiaomin Zhou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Jinghua Zhang, Hao Chen, Jinpeng Zhang, Shouliang Qi, Hongzan Sun   +9 more
doaj   +1 more source

Application of transfer learning and ensemble learning in image-level classification for breast histopathology

Intelligent Medicine, 2023
Background: Breast cancer has the highest prevalence among all cancers in women globally. The classification of histopathological images in the diagnosis of breast cancers is an area of clinical concern.
Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek   +10 more
doaj   +1 more source

Challenges and opportunities for quantifying roots and rhizosphere interactions through imaging and image analysis [PDF]

, 2014
The morphology of roots and root systems influences the efficiency by which plants acquire nutrients and water, anchor themselves and provide stability to the surrounding soil. Plant genotype and the biotic and abiotic environment significantly influence
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core   +3 more sources

A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential

IEEE Access, 2019
Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of environmental changes, and decomposition of waste materials. However, some of them are harmful to humans and animals such as tuberculosis bacteria and plasmodium.
Frank Kulwa, Chen Li, Xin Zhao, Bencheng Cai, Ning Xu, Shouliang Qi, Shuo Chen, Yueyang Teng   +7 more
doaj   +1 more source