Objectives: To assess the feasibility of identifying fetal brain structures and anatomic landmarks included in the anterior complex (AC) and posterior complex (PC), as well as the proximal hemisphere (PH).
Methods: This was a prospective observational multicenter study of healthy pregnant women evaluated by ultrasound screening at 24 to 36 + 6 weeks' gestation. Six physicians performed transabdominal ultrasound, to obtain the planes required to visualize the AC, PC, and PH. Blind analysis by an expert and non-expert operator in fetal neurosonography was used to assess the structures included in each plane view.
Results: In the population studied (n=366), structure detection rates for AC were over 95 %, with an agreement of 96 % when comparing expert and non-expert examiners. Visualization of the corpus callosum crossing the midline was detected in over 97 and 96 % of cases for the AC and PC, respectively, with an agreement of over 96 %. The PH plane, particularly through the posterior access via the mastoid fontanelle, enabled visualization of the proximal anatomical structures in almost 95 % of cases. Detection of the corpus callosum through the AC and PC, both proximal/distal germinal matrix (AC) and proximal Sylvian fissure through the anterior access (PH) in the 24-25 + 6, 26-31 + 6 and 32-36 + 6 weeks' gestation groups were successful in over 96 % of cases with high level of agreement.
Conclusions: Inclusion of AC, PC, and PH later in pregnancy proves feasible with a high level of agreement between both expert and non-expert operators.
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http://dx.doi.org/10.1515/jpm-2022-0605 | DOI Listing |
Sci Rep
December 2024
Computer Research Institute of Montreal- CRIM, Vision Research Department, Montreal, Qc., Canada.
The proliferation of deepfake generation has become increasingly widespread. Current solutions for automatically detecting and classifying generated content require substantial computational resources, making them impractical for use by the average non-expert individual, particularly from edge computing applications. In this paper, we propose a series of techniques to accelerate the inference speed of deepfake detection on video data.
View Article and Find Full Text PDFMethods Mol Biol
December 2024
School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand.
The detached leaf assay is a valuable method for studying plant-pathogen interactions, enabling the assessment of pathogenicity, plant resistance, and treatment effects. In this protocol, we outline how to set up a Phytophthora detached leaf assay and use non-expert machine learning tools to increase the reliability and throughput of the image analysis. Utilizing ilastik for pixel classification and Python scripts for segmentation, manual correction, and temporal linking, the pipeline provides objective and quantitative data over time.
View Article and Find Full Text PDFMed Sci (Basel)
December 2024
Laboratory of Experimental Surgery and Surgical Research "N.S. Christeas", School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece.
Burn injuries remain a major clinical problem worldwide, which require special management by experienced plastic surgeons. However, they cannot be available in every healthcare unit; consequently, there is a need for effective treatment options that could be utilized by a wide range of non-expert healthcare professionals. The aim of the present experimental study was to investigate the safety and efficacy of using a fibrin sealant (TISSEEL) compared to the conventional treatment with sulfadiazine on partial-thickness burn in a rat animal model.
View Article and Find Full Text PDFEur Radiol
December 2024
Guerbet Research, Paris, France.
Objectives: This study aims to evaluate a deep learning pipeline for detecting clinically significant prostate cancer (csPCa), defined as Gleason Grade Group (GGG) ≥ 2, using biparametric MRI (bpMRI) and compare its performance with radiological reading.
Materials And Methods: The training dataset included 4381 bpMRI cases (3800 positive and 581 negative) across three continents, with 80% annotated using PI-RADS and 20% with Gleason Scores. The testing set comprised 328 cases from the PROSTATEx dataset, including 34% positive (GGG ≥ 2) and 66% negative cases.
Heliyon
December 2024
Department of Electrical Engineering, Universidad de Concepción, Edmundo Larenas 219, Concepción, 4030000, Biobío, Chile.
Skin cancer is a growing global concern, with cases steadily rising. Typically, malignant moles are identified through visual inspection, using dermatoscopy and patient history. Active thermography has emerged as an effective method to distinguish between malignant and benign lesions.
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