Results 181 to 190 of about 116,500 (328)

Improved Image Denoising with the Integrated Model of Gaussian filter and Neighshrink SURE

open access: diamond, 2019
Mukund N Naragund   +4 more
openalex   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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]

open access: yesBiosensors (Basel)
Shi L   +7 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

Image Denoising

open access: yesIOSR Journal of Engineering, 2011
openaire   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

Hyperspectral image denoising

open access: yes, 2020
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

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