LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "microscopic images" as a keyword



Data augmentation on mice liver cirrhosis microscopic images employing convolutional neural networks and support vector machine

Sign Up to like & get
recommendations! 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
Photo by testalizeme from unsplash

Aquiring High-Quality Microscopic Images Through Silicon Without Damaging the Finished Product

Sign Up to like & get
recommendations! 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

Fast and robust feature-based stitching algorithm for microscopic images

Sign Up to like & get
recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-61970-y

Abstract: The limited field of view of high-resolution microscopic images hinders the study of biological samples in a single shot. Stitching of microscope images (tiles) captured by the whole-slide imaging (WSI) technique solves this problem. However,… read more here.

Keywords: microscopic; microscopic images; based stitching; feature based ... 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 & get
recommendations! 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 & get
recommendations! 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 & get
recommendations! 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 & get
recommendations! 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 & get
recommendations! 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 & get
recommendations! 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 & get
recommendations! 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

Cucumber pathogenic spores’ detection using the GCS-YOLOv8 network with microscopic images in natural scenes

Sign Up to like & get
recommendations! Published in 2024 at "Plant Methods"

DOI: 10.1186/s13007-024-01243-x

Abstract: Fungal diseases are the main factors affecting the quality and production of vegetables. Rapid and accurate detection of pathogenic spores is of great practical significance for early prediction and prevention of diseases. However, there are… read more here.

Keywords: detection; natural scenes; microscopic images; gcs yolov8 ... See more keywords