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A qualitative, quantitative and dosimetric evaluation of a machine learning-based automatic segmentation method in treatment planning for gastric cancer.
Phys Med
January 2025
Department of Medical Physics, Faculty of Medicine, University of Crete, P.O. Box 2208, 71003 Iraklion, Crete, Greece.
Purpose: To investigate the performance of a machine learning-based segmentation method for treatment planning of gastric cancer.
Materials And Methods: Eighteen patients planned to be irradiated for gastric cancer were studied. The target and the surrounding organs-at-risk (OARs) were manually delineated on CT scans.
Leveraging feature extraction and risk-based clustering for advanced fault diagnosis in equipment.
PLoS One
January 2025
Department of Industrial Engineering, Inha University, Incheon, South Korea.
In the contemporary manufacturing landscape, the advent of artificial intelligence and big data analytics has been a game-changer in enhancing product quality. Despite these advancements, their application in diagnosing failure probability and risk remains underexplored. The current practice of failure risk diagnosis is impeded by the manual intervention of managers, leading to varying evaluations for identical products or similar facilities.
View Article and Find Full Text PDFInsights into the photocatalytic removal of malachite green organic pollutant by highly efficient hard responsive BaCoDyFeO catalysts.
Sci Rep
January 2025
Department, School of Chips, Xi'an Jiaotong-Liverpool University, Taicang, Suzhou, 215400, China.
The widespread discharge of organic dyes into the wastewater from various industrial processes has develop a major environmental apprehension in the modern world. To tackle such environmental issues, we are synthesizing a novel catalyst of composition, BaCoDyFeO (x = y = 0.02-0.
View Article and Find Full Text PDFAssociation Between Serum Antinuclear Antibody and Polycystic Ovarian Syndrome in Reproductive Women Aged 18 to 35 Years: A Quest for an Autoimmune Marker.
Cureus
December 2024
Obstetrics and Gynaecology, All India Institute of Medical Sciences, Raipur, IND.
Introduction: Polycystic ovarian syndrome (PCOS) is a heterogeneous endocrinal physiological disorder characterized by chronic oligo-ovulation or an-ovulation, hyperandrogenism, and polycystic morphology in ovaries on transvaginal or abdominal ultrasound. Hyperandrogenism and insulin resistance are already well-documented pathophysiological mechanisms in PCOS. Besides this, autoimmunity has been hypothesized in its pathogenesis.
View Article and Find Full Text PDFEmpirical analysis on retinal segmentation using PSO-based thresholding in diabetic retinopathy grading.
Biomed Tech (Berl)
January 2025
Department of Computer Science, 72937 Centre for Machine Learning and Intelligence (CMLI), Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India.
Objectives: Diabetic retinopathy (DR) is associated with long-term diabetes and is a leading cause of blindness if it is not diagnosed early. The rapid growth of deep learning eases the clinicians' DR diagnosing procedure. It automatically extracts the features and performs the grading.
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