Results 61 to 70 of about 8,972,433 (325)

Investigation of an efficient multi-modal convolutional neural network for multiple sclerosis lesion detection

Scientific Reports, 2023
In this study, an automated 2D machine learning approach for fast and precise segmentation of MS lesions from multi-modal magnetic resonance images (mmMRI) is presented.
Florian Raab, Wilhelm Malloni, Simon Wein, Mark W. Greenlee, Elmar W. Lang   +4 more
doaj   +1 more source

The In Vivo Quantitative Assessment of the Effectiveness of Low-Dose Photodynamic Therapy on Wound Healing Using Optical Coherence Tomography

Pharmaceutics, 2022
The effect of low-dose photodynamic therapy on in vivo wound healing was investigated using optical coherence tomography. This work aims to develop an approach to quantitative assessment of the wound’s state during wound healing including the effect of ...
Hala Zuhayri, Viktor V. Nikolaev, Tatiana B. Lepekhina, Ekaterina A. Sandykova, Natalya A. Krivova, Yury V. Kistenev   +5 more
doaj   +1 more source

Comparative Profiling [PDF]

Generative AI models are at the forefront of advancing creative and analytical tasks, pushing the boundaries of what machines can generate and comprehend. Among these, latent diffusion models represent significant advancements in generating high-fidelity
Abdelmoniem, AM, Aldous, B, Proceedings of the 4th Workshop on Machine Learning and Systems   +2 more
core   +1 more source

ALL-IN meta-analysis: breathing life into living systematic reviews [version 1; peer review: 1 approved, 2 approved with reservations]

F1000Research, 2022
Science is justly admired as a cumulative process (“standing on the shoulders of giants”), yet scientific knowledge is typically built on a patchwork of research contributions without much coordination.
Judith ter Schure, Peter Grünwald
doaj  

Study to Determine Levels of Cadmium in Cocoa Crops Applied to Inland Areas of Peru: “The Case of the Campo Verde-Honoria Tournavista Corridor”

Agronomy, 2020
The presence of cadmium (Cd) in cocoa crops is currently a serious problem for farmers and producers in various regions of South America. Because its exports of cocoa and derivatives to European markets are threatened by possible signs of contamination ...
Jimmy Aurelio Rosales-Huamani, Jorge Luis Breña-Ore, Svitlana Sespedes-Varkarsel, Luis Huamanchumo de la Cuba, Luis Centeno-Rojas, Alonso Otiniano-Zavala, Joseps Andrade-Choque, Santiago Valverde-Espinoza, Jose Luis Castillo-Sequera   +8 more
doaj   +1 more source

Detecting cover songs with pitch class key-invariant networks [PDF]

, 2021
Deep Learning (DL) has recently been applied successfully to the task of Cover Song Identification (CSI). Meanwhile, neural networks that consider music signal data structure in their design have been developed.
Benetos, E, Dixon, S, IEEE International Workshop on Machine Learning for Signal Processing (MLSP), O'Hanlon, K   +3 more
core  

The power of microRNA regulation—insights into immunity and metabolism

FEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto, Nicola Manfrini, Stefano Biffo   +2 more
wiley   +1 more source

MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning

Entropy, 2019
Efficient approximation lies at the heart of large-scale machine learning problems. In this paper, we propose a novel, robust maximum entropy algorithm, which is capable of dealing with hundreds of moments and allows for computationally efficient ...
Diego Granziol, Binxin Ru, Stefan Zohren, Xiaowen Dong, Michael Osborne, Stephen Roberts   +5 more
doaj   +1 more source

The scientific evaluation of music content analysis systems: Valid empirical foundations for future real-world impact [PDF]

, 2016
We discuss the problem of music content analysis within the formal framework of experimental ...
Grossmann, H, International Conference on Machine Learning, Maruri-Aguilar, H, Parker, B, STURM, BLT   +4 more
core  

Unlocking the potential of tumor‐derived DNA in urine for cancer detection: methodological challenges and opportunities

Molecular Oncology, EarlyView.
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever, Renske D. M. Steenbergen   +1 more
wiley   +1 more source