Results 71 to 80 of about 1,357,046 (311)

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

FEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu, Huseyn Babayev, Ismail Ogulur, Sena Ardicli, Yagiz Pat, Duygu Yazici, Bingjie Zhao, Lihong Chang, Xiaoqing Liu, Paolo D'Avino, Manru Li, Ceren Biçer, Fatma Hacer Kurtoğlu Babayev, Raja Dhir, Kari C. Nadeau, Marie‐Charlotte Brüggen, Mubeccel Akdis, Cezmi A. Akdis   +17 more
wiley   +1 more source

Fast Detection of Plants in Soybean Fields Using UAVs, YOLOv8x Framework, and Image Segmentation

Drones
The accuracy of classification and localization of plants on images obtained from the board of an unmanned aerial vehicle (UAV) is of great importance when implementing precision farming technologies.
Ravil I. Mukhamediev, Valentin Smurygin, Adilkhan Symagulov, Yan Kuchin, Yelena Popova, Farida Abdoldina, Laila Tabynbayeva, Viktors Gopejenko, Alexey Oxenenko   +8 more
doaj   +1 more source

Deep Active Learning for Automatic Segmentation of Maxillary Sinus Lesions Using a Convolutional Neural Network

Diagnostics, 2021
The aim of this study was to segment the maxillary sinus into the maxillary bone, air, and lesion, and to evaluate its accuracy by comparing and analyzing the results performed by the experts. We randomly selected 83 cases of deep active learning.
Seok-Ki Jung, Ho-Kyung Lim, Seungjun Lee, Yongwon Cho, In-Seok Song   +4 more
doaj   +1 more source

Interactive segmentation

, 2022
You should run "main.py".  The required input and output functions are in "input_output_function.py" and all the necessary functions for segmentation are in "segmentation.py" 
openaire   +1 more source

The K-Space segmentation tool set [PDF]

, 2008
In this paper we describe two applications, created as part of the K-Space Network of Excellence, designed to allow researchers to use and experiment with state-of-the-art methods for spatial segmentation of images and video sequences. The first of these
McGuinness, Kevin, O'Connor, Noel E.
core  

SegFlow: Joint Learning for Video Object Segmentation and Optical Flow

, 2017
This paper proposes an end-to-end trainable network, SegFlow, for simultaneously predicting pixel-wise object segmentation and optical flow in videos. The proposed SegFlow has two branches where useful information of object segmentation and optical flow ...
Cheng, Jingchun, Tsai, Yi-Hsuan, Wang, Shengjin, Yang, Ming-Hsuan   +3 more
core   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source

Sensor Agnostic Semantic Segmentation of Structurally Diverse and Complex Forest Point Clouds Using Deep Learning

Remote Sensing, 2021
Forest inventories play an important role in enabling informed decisions to be made for the management and conservation of forest resources; however, the process of collecting inventory information is laborious.
Sean Krisanski, Mohammad Sadegh Taskhiri, Susana Gonzalez Aracil, David Herries, Paul Turner   +4 more
doaj   +1 more source

Exploring lipid diversity and minimalism to define membrane requirements for synthetic cells

FEBS Letters, EarlyView.
Designing the lipid membrane of synthetic cells is a complex task, in which its various roles (among them solute transport, membrane protein support, and self‐replication) should all be integrated. In this review, we report the latest top‐down and bottom‐up advances and discuss compatibility and complexity issues of current engineering approaches ...
Sergiy Gan, Victoria Scarpelli, Marten Exterkate   +2 more
wiley   +1 more source

Combined Atlas and Convolutional Neural Network-Based Segmentation of the Hippocampus from MRI According to the ADNI Harmonized Protocol

Sensors, 2021
Hippocampus atrophy is an early structural feature that can be measured from magnetic resonance imaging (MRI) to improve the diagnosis of neurological diseases.
Samaneh Nobakht, Morgan Schaeffer, Nils D. Forkert, Sean Nestor, Sandra E. Black, Philip Barber, the Alzheimer’s Disease Neuroimaging Initiative   +6 more
doaj   +1 more source