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Development of neoplastic region selection algorithm based on breast cancer whole slide image
Published 2020-12-01“…We reduced the operating time of the other algorithms and excluded areas of breast cancer whole-slide tissue with a background to analyze. …”
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Analysis of physical properties in white and whole wheat sliced bread using digital image processing
Published 2025-08-01“…For this reason, in this study, an algorithm was developed to measure the color, size and morphology of the alveoli from the crumb structure of sliced bread images of two varieties (white and whole). …”
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The Significant Effects of Threshold Selection for Advancing Nitrogen Use Efficiency in Whole Genome of Bread Wheat
Published 2025-01-01Subjects: Get full text
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A simple and efficient algorithm for genome‐wide homozygosity analysis in disease
Published 2009-09-01Subjects: Get full text
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OKEN: A Supervised Evolutionary Optimizable Dimensionality Reduction Framework for Whole Slide Image Classification
Published 2025-07-01“…Automatic classification of Whole Slide Images (WSIs) typically involves extracting features from patches obtained from them. …”
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Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer
Published 2024-12-01“…This proof-of-concept study employed a deep learning (DL) algorithm to predict TP53 mutational status from H&E-stained whole slide images (WSIs) of BC tissue. …”
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A clinically feasible algorithm for the parallel detection of glioma‐associated copy number variation markers based on shallow whole genome sequencing
Published 2024-11-01Subjects: “…CNV detection algorithm…”
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Digital Pathology Tailored for Assessment of Liver Biopsies
Published 2025-04-01Subjects: “…algorithms…”
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Error concealment algorithm for entire frame loss based on optical flow estimation
Published 2007-01-01Get full text
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Error concealment algorithm for entire frame loss based on optical flow estimation
Published 2007-01-01Get full text
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An integrative scoring approach for prioritization of rare autism spectrum disorder candidate variants from whole exome sequencing data
Published 2025-04-01“…Abstract Discerning clinically relevant autism spectrum disorder (ASD) candidate variants from whole-exome sequencing (WES) data is complex, time-consuming, and labor-intensive. …”
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An Information-Extreme Algorithm for Universal Nuclear Feature-Driven Automated Classification of Breast Cancer Cells
Published 2025-05-01Subjects: Get full text
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Advances on whole genome sequencing in Triticeae
Published 2023-02-01“…In this study, we reviewed the advances on the whole genome sequencing of 17 Triticeae species (including subspecies), including Triticum, Hordeum, Secale, Elytrigia, and Aegilops, in aspects of sequencing technology, assembly strategy and quality, and the major research contents associated with genomes and gene functions. …”
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Optimization of Offshore Wind and Wave Energy Co-Generation System Based on Improved Seagull Optimization Algorithm
Published 2025-05-01Subjects: Get full text
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A Review of Advanced Deep Learning Methods of Multi-Target Segmentation for Breast Cancer WSIs
Published 2025-01-01Subjects: Get full text
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Comprehensive Analysis of Human Subtelomeres by Whole Genome Mapping.
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COMPARISON BETWEEN MANUAL AND AUTOMATIC SEGMENTATION OF THE WHOLE-BRAIN AND CEREBELLUM
Published 2025-05-01“…Thus, spherical VOI is less precise for whole-organ analysis but useful for quick regional calculations. …”
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Optimized detection of insertions/deletions (INDELs) in whole-exome sequencing data.
Published 2017-01-01“…To evaluate INDEL calling from whole-exome sequencing (WES) data, we performed Sanger sequencing for all INDELs called from the several calling algorithm. …”
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Assessing the quality of whole slide images in cytology from nuclei features
Published 2025-04-01“…Background and objective: Implementation of machine learning and artificial intelligence algorithms into digital pathology laboratories faces several challenges, notably the variation in whole slide image preparation protocols. …”
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Accurate and robust prediction of genetic relationship from whole-genome sequences.
Published 2014-01-01“…We developed an algorithm for estimation of genetic relationship by averaged blocks (GRAB) that is designed for whole-genome sequencing (WGS) data. …”
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