Results 1 to 10 of about 277,529 (354)

A Residual Dense Attention Generative Adversarial Network for Microscopic Image Super-Resolution [PDF]

Sensors
With the development of deep learning, the Super-Resolution (SR) reconstruction of microscopic images has improved significantly. However, the scarcity of microscopic images for training, the underutilization of hierarchical features in original Low ...
Sanya Liu, Xiao Weng, Xingen Gao, Xiaoxin Xu, Lin Zhou   +4 more
doaj   +4 more sources

Studying pulmonary fibrosis due to microbial infection via automated microscopic image analysis [PDF]

Frontiers in Microbiology, 2023
IntroductionPulmonary fibrosis is a consequential complication of microbial infections, which has notably been observed in SARS-CoV-2 infections in recent times.
Yajie Chen, Henghui He, Licheng Luo, Kangyi Liu, Min Jiang, Shiqi Li, Xianqi Zhang, Xin Yang, Qian Liu   +8 more
doaj   +2 more sources

A state-of-the-art review of diffusion model applications for microscopic image and micro-alike image analysis [PDF]

Frontiers in Medicine
Diffusion models, a class of deep learning models based on probabilistic generative processes, progressively transform data into noise and then reconstruct the original data through an inverse process.
Yan Liu, Tao Jiang, Rui Li, Lingling Yuan, Marcin Grzegorzek, Chen Li, Xiaoyan Li   +6 more
doaj   +2 more sources

State-of-the-Art Deep Learning Methods for Microscopic Image Segmentation: Applications to Cells, Nuclei, and Tissues [PDF]

Journal of Imaging
Microscopic image segmentation (MIS) is a fundamental task in medical imaging and biological research, essential for precise analysis of cellular structures and tissues.
Fatma Krikid, Hugo Rositi, Antoine Vacavant   +2 more
doaj   +2 more sources

Opening the black box: explainable deep-learning classification of wood microscopic image of endangered tree species. [PDF]

Plant Methods
Zheng C, Liu S, Wang J, Lu Y, Ma L, Jiao L, Guo J, Yin Y, He T.   +8 more
europepmc   +3 more sources

Characterization of Porous Cementitious Materials Using Microscopic Image Processing and X-ray CT Analysis [PDF]

Materials, 2020
Jinyoung Yoon, Hyunjun Kim, Sung-Han Sim   +2 more
exaly   +2 more sources

EBHI-Seg: A novel enteroscope biopsy histopathological hematoxylin and eosin image dataset for image segmentation tasks

Frontiers in Medicine, 2023
Background and purposeColorectal cancer is a common fatal malignancy, the fourth most common cancer in men, and the third most common cancer in women worldwide.
Liyu Shi, Xiaoyan Li, Weiming Hu, Haoyuan Chen, Jing Chen, Zizhen Fan, Minghe Gao, Yujie Jing, Guotao Lu, Deguo Ma, Zhiyu Ma, Qingtao Meng, Dechao Tang, Hongzan Sun, Marcin Grzegorzek, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li   +18 more
doaj   +1 more source

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

Analysis of Morphological Features of Benign and Malignant Breast Cell Extracted From FNAC Microscopic Image Using the Pearsonian System of Curves.

J Cytol, 2018
Rajbongshi N, Bora K, Nath DC, Das AK, Mahanta LB.   +4 more
europepmc   +2 more sources

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