An intensive and comprehensive overview of JAYA algorithm, its versions and applications
In this review paper, JAYA algorithm, which is a recent population-based algorithm is
intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from …
intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from …
A review of image processing methods for fetal head and brain analysis in ultrasound images
Background and objective Examination of head shape and brain during the fetal period is
paramount to evaluate head growth, predict neurodevelopment, and to diagnose fetal …
paramount to evaluate head growth, predict neurodevelopment, and to diagnose fetal …
Deep-learning framework to detect lung abnormality–A study with chest X-Ray and lung CT scan images
Lung abnormalities are highly risky conditions in humans. The early diagnosis of lung
abnormalities is essential to reduce the risk by enabling quick and efficient treatment. This …
abnormalities is essential to reduce the risk by enabling quick and efficient treatment. This …
Fine-tuning U-Net for ultrasound image segmentation: different layers, different outcomes
One way of resolving the problem of scarce and expensive data in deep learning for medical
applications is using transfer learning and fine-tuning a network which has been trained on …
applications is using transfer learning and fine-tuning a network which has been trained on …
Artificial intelligence in obstetric ultrasound: A scoping review
R Horgan, L Nehme, A Abuhamad - Prenatal Diagnosis, 2023 - Wiley Online Library
The objective is to summarize the current use of artificial intelligence (AI) in obstetric
ultrasound. PubMed, Cochrane Library, and ClinicalTrials. gov databases were searched …
ultrasound. PubMed, Cochrane Library, and ClinicalTrials. gov databases were searched …
A regression framework to head-circumference delineation from US fetal images
MC Fiorentino, S Moccia, M Capparuccini… - Computer methods and …, 2021 - Elsevier
Abstract Background and Objectives Measuring head-circumference (HC) length from
ultrasound (US) images is a crucial clinical task to assess fetus growth. To lower intra-and …
ultrasound (US) images is a crucial clinical task to assess fetus growth. To lower intra-and …
Fast and accurate U-net model for fetal ultrasound image segmentation
V Ashkani Chenarlogh, M Ghelich Oghli… - Ultrasonic …, 2022 - journals.sagepub.com
U-Net based algorithms, due to their complex computations, include limitations when they
are used in clinical devices. In this paper, we addressed this problem through a novel U-Net …
are used in clinical devices. In this paper, we addressed this problem through a novel U-Net …
Multi-skill resource constrained project scheduling using a multi-objective discrete Jaya algorithm
YY Li, J Lin, ZJ Wang - Applied Intelligence, 2022 - Springer
Multi-skill resource constrained project scheduling problem (MS-RCPSP) is one of the
widest investigated problems in manufacturing systems. This paper presents a multi …
widest investigated problems in manufacturing systems. This paper presents a multi …
A novel coarse-to-Fine Sea-land segmentation technique based on Superpixel fuzzy C-means clustering and modified Chan-Vese model
The sea-land segmentation for optical remote sensing images (RSIs) has a valuable role in
water resources and coastal zones management. However, it is challenging because optical …
water resources and coastal zones management. However, it is challenging because optical …
Precise segmentation of fetal head in ultrasound images using improved U‐Net model
V Nagabotu, A Namburu - ETRI Journal, 2024 - Wiley Online Library
Monitoring fetal growth in utero is crucial to anomaly diagnosis. However, current computer‐
vision models struggle to accurately assess the key metrics (ie, head circumference and …
vision models struggle to accurately assess the key metrics (ie, head circumference and …