Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Recent computational methods for white blood cell nuclei segmentation: A comparative study

6 Mar 2019

Abstract excerpt

No abstract is available from the source.

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to AI in cancer detection
Share to Hematological disorders and diagnostics

Source

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Identifiers

PMID: 31046984
DOI: 10.1016/j.cmpb.2019.03.001

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Recent computational methods for white blood cell nuclei segmentation: A comparative studyPMID 31046984Read ↗

White Blood Cell Segmentation for Acute Leukemia Bone Marrow ImagesSemantic proximity Read ↗

Segmentation and Classification of White Blood Cells Using the UNetSemantic proximity Read ↗

Segmentation and Classification of White Blood SMEAR Images using Modified CNN ArchitectureSemantic proximity Read ↗

Overlapping White Blood Cell Segmentation And Counting On Microscopic Blood Cell ImagesSemantic 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 ↗

Evaluation of cell segmentation methods without reference segmentationsSemantic proximity Read ↗

LeukoSegmenter: A Double Encoder-decoder Based Network for Leukocyte Segmentation From Blood Smear ImagesSemantic proximity Read ↗

Balancing Accuracy and Efficiency: A Comprehensive Analysis of Optimization Algorithms in Medical Image SegmentationSemantic proximity Read ↗

Image analysis of neutrophil nuclear morphology: Learning about phenotypic range and its reliable analysis from patients with pelger-Huët-anomaly and treated with colchicine.Semantic proximity Read ↗

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

Generalizability in White Blood Cells’ Classification ProblemSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.