Article

ChroSegNet: An Attention-Based Model for Chromosome Segmentation with Enhanced Processing

2023-02-10

Abstract excerpt

In modern medical diagnosis, the karyotype analysis for human chromosome is clinically significant for the diagnosis and treatment of genetic diseases. In such an analysis, it is critically important to segment the banded chromosomes. Chromosome segmentation, however, is technically challenging due to the variable chromosome features, the complex background noise, and the uneven image quality of the chromosome ima...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e69b7f4b-7fce-5bff-85a1-a67876cce6c5
DOI: 10.3390/app13042308

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

ChroSegNet: An Attention-Based Model for Chromosome Segmentation with Enhanced ProcessingDOI 10.3390/app13042308Read

A Clinical Dataset and Various Baselines for Chromosome Instance SegmentationSemantic proximity Read

Deep Learning-Based Human Chromosome Classification: Data Augmentation and EnsembleSemantic proximity Read

SRAS‐net: Low‐resolution chromosome image classification based on deep learningSemantic proximity Read

Karyotyping of human chromosomes in metaphase images using faster R‐CNN and inception modelsSemantic proximity Read

Attention Mask R‐CNN with edge refinement algorithm for identifying circulating genetically abnormal cellsSemantic proximity Read

MetaChrome: An Open-Source, User-Friendly Tool for Automated Metaphase Chromosome AnalysisSemantic proximity Read

Deep Learning for Detecting BRCA Mutations in High-Grade Ovarian Cancer Based on an Innovative Tumor Segmentation Method From Whole Slide Images.Semantic proximity Read

BARCODE: A Chromosome Karyotype Analysis Model Based on a Banding Code FrameworkSemantic proximity Read

Automated human chromosome segmentation and feature extraction: Current trends and prospectsSemantic proximity Read

Nuclei Segmentation in Hematoxylin & Eosin- stained Tissue Images Using U-Net-based ModelsSemantic proximity Read

Ensemble Processing and Synthetic Image Generation for Abnormally Shaped Nuclei SegmentationSemantic proximity Read

Manually-established abnormal karyotype dataset based on normal chromosomes effectively train artificial intelligence model for better cytogenetic abnormalities predictionSemantic proximity Read