Results 181 to 190 of about 116,500 (328)
Improved Image Denoising with the Integrated Model of Gaussian filter and Neighshrink SURE
Mukund N Naragund +4 more
openalex +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
BDNet: A Real-Time Biomedical Image Denoising Network with Gradient Information Enhancement Loss. [PDF]
Shi L +7 more
europepmc +1 more source
An efficient 3D reconstruction method based on WT-TV denoising for low-dose CT images
Yaoyao Liu, Chang Wang
openalex +2 more sources
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Noise-augmented deep denoising: A method to boost CT image denoising networks. [PDF]
Kristof G, Eulig E, Kachelrieß M.
europepmc +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Šiame darbe analizavome hiperspektrinius vaizdus, hiperspektrinias vaizdavimo technologijas ir triukšmo kilmę hiperspektriniuose vaizduose. Mes ištyrėme ir įgyvendinome kelis HSI triukšmo vertinimo metodus: koreliacijos koeficientų suradimo metodikas (R1 ir R2) ir tiesinės regresijos metodikas (LMLSD ir SSDC).
openaire +1 more source

