Results 11 to 20 of about 277,529 (354)

Image stitching of microscopic images

, 2016
Method to stich many microscopic images to gain one image with a very high resolution.
Bennemann, Michael, Seidl, Tobias
openaire   +2 more sources

An effective microscopic image augmentation approach. [PDF]

Sci Rep
There are too many types of Chinese medicinal herbs (CMH) and it is difficult to collect microscopic images, which naturally leads to the problem of small sample size. In addition, CMH also has some scarcity characteristic, with the proportion of certain
Li W, Yang L, Peng G, Pang G, Yu Z, Zhu X.   +5 more
europepmc   +2 more sources

A ‘Solid-Image’ Microscope [PDF]

Nature, 1958
FOR many purposes, such as tracing networks of neural structure in the brain, a normal microscope has the serious limitation that only a thin layer of the specimen can be studied at one time, owing to the limited depth of focus of microscope objectives.
R L, GREGORY, P E, DONALDSON
openaire   +4 more sources

Microscopic susceptibility anisotropy imaging [PDF]

Magnetic Resonance in Medicine, 2020
PurposeThe gradient‐echo MR signal in brain white matter depends on the orientation of the fibers with respect to the external magnetic field. To map microstructure‐specific magnetic susceptibility in orientationally heterogeneous material, it is thus imperative to regress out unwanted orientation effects.MethodsThis work introduces a novel framework ...
Enrico Kaden, Noemi G. Gyori, S. Umesh Rudrapatna, Irina Y. Barskaya, Iulius Dragonu, Mark D. Does, Derek K. Jones, Chris A. Clark, Daniel C. Alexander   +8 more
openaire   +5 more sources

Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos

IEEE Access, 2020
A behavior description helps analyze tiny objects, similar objects, objects with weak visual information, and objects with similar visual information. It plays a fundamental role in the identification and classification of dynamic objects in microscopic ...
Xialin Li, Chen Li, Frank Kulwa, Md Mamunur Rahaman, Wenwei Zhao, Xue Wang, Dan Xue, Yudong Yao, Yilin Cheng, Jindong Li, Shouliang Qi, Tao Jiang   +11 more
doaj   +1 more source

A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): From Convolutional Neural Networks to Visual Transformers

Frontiers in Microbiology, 2022
In recent years, deep learning has made brilliant achievements in Environmental Microorganism (EM) image classification. However, image classification of small EM datasets has still not obtained good research results. Therefore, researchers need to spend
Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Hechen Yang, Hongzan Sun, Tao Jiang, Marcin Grzegorzek   +7 more
doaj   +1 more source

Urine Microscopic Image Dataset

CoRR, 2021
7 pages, 1 ...
Dipam Goswami, Hari Om Aggrawal, Rajiv Gupta, Vinti Agarwal   +3 more
openaire   +2 more sources

An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data

IEEE Access, 2020
The main obstacle to image augmentation with Generative Adversarial Networks (GANs) is the need for a large amount of training data, but this is difficult for small datasets like Environmental Microorganisms (EMs). EM image analysis plays a vital role in
Hao Xu, Chen Li, Md Mamunur Rahaman, Yudong Yao, Zihan Li, Jinghua Zhang, Frank Kulwa, Xin Zhao, Shouliang Qi, Yueyang Teng   +9 more
doaj   +1 more source

EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification, and Detection Method Evaluation

Frontiers in Microbiology, 2022
Environmental microorganisms (EMs) are ubiquitous around us and have an important impact on the survival and development of human society. However, the high standards and strict requirements for the preparation of environmental microorganism (EM) data ...
Peng Zhao, Chen Li, Md Mamunur Rahaman, Md Mamunur Rahaman, Hao Xu, Pingli Ma, Hechen Yang, Hongzan Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek   +10 more
doaj   +1 more source

EMDS-7: Environmental microorganism image dataset seventh version for multiple object detection evaluation

Frontiers in Microbiology, 2023
Nowadays, the detection of environmental microorganism indicators is essential for us to assess the degree of pollution, but the traditional detection methods consume a lot of manpower and material resources.
Hechen Yang, Chen Li, Xin Zhao, Bencheng Cai, Jiawei Zhang, Pingli Ma, Peng Zhao, Ao Chen, Tao Jiang, Tao Jiang, Hongzan Sun, Yueyang Teng, Shouliang Qi, Xinyu Huang, Marcin Grzegorzek, Marcin Grzegorzek   +15 more
doaj   +1 more source