Data augmentation on mice liver cirrhosis microscopic images employing convolutional neural networks and support vector machine
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-0951-8
Abstract: Liver cirrhosis is an advanced, diffuse stage of liver injury which usually entails pathologists to check a large number of microscopic images. Obvious differences between liver cirrhosis microscopic images and normal microscopic images, such as… read more here.
Keywords: microscopic images; neural networks; liver cirrhosis; machine ... See more keywords
Aquiring High-Quality Microscopic Images Through Silicon Without Damaging the Finished Product
Sign Up to like & getrecommendations! Published in 2018 at "Microscopy and Microanalysis"
DOI: 10.1017/s1431927618006177
Abstract: Typical microelectronics failure-analysis protocol requires the ability to inspect circuit patterns through silicon, non-destructively, while maintaining the mechanical integrity of the finished product. Noninvasive techniques such as microscopic imaging in the near-IR spectrum provide inspection… read more here.
Keywords: aquiring high; product; high quality; finished product ... See more keywords
SIFLoc: a self-supervised pre-training method for enhancing the recognition of protein subcellular localization in immunofluorescence microscopic images
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab605
Abstract: With the rapid growth of high-resolution microscopy imaging data, revealing the subcellular map of human proteins has become a central task in the spatial proteome. The cell atlas of the Human Protein Atlas (HPA) provides… read more here.
Keywords: self supervised; subcellular localization; microscopic images; pre training ... See more keywords
Manifold classification of neuron types from microscopic images
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac594
Abstract: Analysis of cell types is recognized as a major task in current single cell genotyping and phenotyping. In neuroscience, 3-D neuron morphologies are often reconstructed from multi-dimensional microscopic images. Recent studies indicate that neurons could… read more here.
Keywords: microscopic images; cell; classification; manifold classification ... See more keywords
Image Enhancement and Features Extraction of Electron Microscopic Images Using Sigmoid Function and 2D-DCT
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3192416
Abstract: An innovative image enhancement and feature extraction technique that is based on the modified sigmoid function and two-dimensional DCT has been developed. The proposed technique uses a modified sigmoid function that accommodates the original microscopic… read more here.
Keywords: sigmoid function; dct; image; microscopic images ... See more keywords
Effective Super-Resolution Methods for Paired Electron Microscopic Images
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3000964
Abstract: This paper is concerned with investigating super-resolution algorithms and solutions for handling electron microscopic images. We note two main aspects differentiating the problem discussed here from those considered in the literature. The first difference is… read more here.
Keywords: resolution; super resolution; microscopic images; image ... See more keywords
Obtaining Microscopic Images Under a High 20-T Pulse Magnetic Field Using an Optimized Coil
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Magnetics"
DOI: 10.1109/tmag.2017.2700082
Abstract: We optimized the coil of a pulsed electromagnet to be able to obtain dynamically microscopic images of crystals in a pulsed magnetic field of a maximum intensity of 20 T and pulsewidth of 3 ms.… read more here.
Keywords: field; coil; microscopic images; magnetic field ... See more keywords
Open‐source deep learning‐based air‐void detection algorithm for concrete microscopic images
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Microscopy"
DOI: 10.1111/jmi.13098
Abstract: Analysing concrete microscopic images is difficult because of its highly heterogeneous composition and the different scales involved. This article presents an open‐source deep learning‐based algorithm dedicated to air‐void detection in concrete microscopic images. The model,… read more here.
Keywords: microscopic images; air void; air; concrete microscopic ... See more keywords
Improved Watershed Algorithm-Based Microscopic Images Combined with Meibomian Gland Microprobe in the Treatment of Demodectic Blepharitis
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/4389659
Abstract: The objective of the study was to explore microscopic images under a watershed segmentation algorithm combined with meibomian gland microprobe in the treatment of demodectic blepharitis. For segmenting the connected target objects in the image,… read more here.
Keywords: microscopic images; combined meibomian; group; treatment ... See more keywords
An evaluation of computational learning-based methods for the segmentation of nuclei in cervical cancer cells from microscopic images.
Sign Up to like & getrecommendations! Published in 2022 at "Current computer-aided drug design"
DOI: 10.2174/1573409918666220208120756
Abstract: BACKGROUND The manual segmentation of cellular structures on Z-stack microscopic images is time-consuming and often inaccurate, highlighting the need to develop auto-segmentation tools to facilitate this process. OBJECTIVE This study aimed to compare the performance… read more here.
Keywords: cervical cancer; microscopic images; segmentation nuclei; segmentation ... See more keywords
White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images
Sign Up to like & getrecommendations! Published in 2022 at "Healthcare"
DOI: 10.3390/healthcare10112230
Abstract: White blood cell (WBC) type classification is a task of significant importance for diagnosis using microscopic images of WBC, which develop immunity to fight against infections and foreign substances. WBCs consist of different types, and… read more here.
Keywords: microscopic images; rgb features; texture rgb; blood cell ... See more keywords