[HTML][HTML] Machine learning in agriculture domain: A state-of-art survey

V Meshram, K Patil, V Meshram, D Hanchate… - Artificial Intelligence in …, 2021 - Elsevier
Food is considered as a basic need of human being which can be satisfied through farming.
Agriculture not only fulfills humans' basic needs, but also considered as source of …

A survey on deep learning applied to medical images: from simple artificial neural networks to generative models

P Celard, EL Iglesias, JM Sorribes-Fdez… - Neural Computing and …, 2023 - Springer
Deep learning techniques, in particular generative models, have taken on great importance
in medical image analysis. This paper surveys fundamental deep learning concepts related …

Human posture detection using image augmentation and hyperparameter-optimized transfer learning algorithms

RO Ogundokun, R Maskeliūnas, R Damaševičius - Applied Sciences, 2022 - mdpi.com
With the advancement in pose estimation techniques, human posture detection recently
received considerable attention in many applications, including ergonomics and healthcare …

GUDU: Geometrically-constrained Ultrasound Data augmentation in U-Net for echocardiography semantic segmentation

C Sfakianakis, G Simantiris, G Tziritas - Biomedical Signal Processing and …, 2023 - Elsevier
Echocardiography is a very important medical examination that helps in the computation of
critical heart functions. Boundary identification, segmentation and estimation of the volume …

Applications, functions, and accuracy of artificial intelligence in restorative dentistry: A literature review

F Tabatabaian, SR Vora… - Journal of Esthetic and …, 2023 - Wiley Online Library
Objective The applications of artificial intelligence (AI) are increasing in restorative dentistry;
however, the AI performance is unclear for dental professionals. The purpose of this …

Artificial intelligence ECG analysis in patients with short QT syndrome to predict life-threatening arrhythmic events

E Pasero, F Gaita, V Randazzo, P Meynet, S Cannata… - Sensors, 2023 - mdpi.com
Short QT syndrome (SQTS) is an inherited cardiac ion-channel disease related to an
increased risk of sudden cardiac death (SCD) in young and otherwise healthy individuals …

Development and validation of a deep learning pipeline to measure pericardial effusion in echocardiography

CY Cheng, CC Wu, HC Chen, CH Hung… - Frontiers in …, 2023 - frontiersin.org
Objectives The aim of this study was to develop a deep-learning pipeline for the
measurement of pericardial effusion (PE) based on raw echocardiography clips, as current …

[HTML][HTML] CoST-UNet: Convolution and swin transformer based deep learning architecture for cardiac segmentation

MR Islam, M Qaraqe, E Serpedin - Biomedical Signal Processing and …, 2024 - Elsevier
Automatic segmentation of two-dimensional (2D) echocardiogram is beneficial for heart
disease diagnosis and assessment. Convolutional Neural Network (CNN) based U-shaped …

Artificial intelligence suppression as a strategy to mitigate artificial intelligence automation bias

DY Wang, J Ding, AL Sun, SG Liu… - Journal of the …, 2023 - academic.oup.com
Background Incorporating artificial intelligence (AI) into clinics brings the risk of automation
bias, which potentially misleads the clinician's decision-making. The purpose of this study …

[PDF][PDF] Artificial Intelligence Applied to Support Agronomic Decisions for the Automatic Aerial Analysis Images Captured by UAV: A Systematic Review.

JAOS Silva, VS Siqueira, M Mesquita, LSR Vale… - …, 2024 - researchgate.net
Integrating advanced technologies such as artificial intelligence (AI) with traditional
agricultural practices has changed how activities are developed in agriculture, with the aim …