Acute Lymphoblastic Leukemia Cell Nuclei Segmentation Using U-Net with Ensemble Feature Extractor

G. Niveditha; B. Uma Maheswari

doi:10.1007/978-981-96-4391-2_26

ScienceGate Book Chapters

BOOK-CHAPTER

Acute Lymphoblastic Leukemia Cell Nuclei Segmentation Using U-Net with Ensemble Feature Extractor

G. Niveditha B. Uma Maheswari

Year: 2025 Lecture notes in electrical engineering Pages: 241-257 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-96-4391-2_26

Get Full-Text PDF Get Analytical Report

Keywords:

Lymphoblastic Leukemia Extractor Computer science Segmentation Feature (linguistics) Artificial intelligence Pattern recognition (psychology) Medicine Leukemia Internal medicine Engineering Philosophy

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.44

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Image and Object Detection Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Acute Lymphoblastic Leukemia Cell Nuclei Segmentation Using U-Net with Ensemble Feature Extractor

Metrics

Topics

Related Documents

Microscopy cell nuclei segmentation with enhanced U-Net

Acute lymphoblastic leukemia diagnosis and subtype segmentation in blood smears using CNN and U-Net

U-shaped Feature Extractor Used on Mask R-CNN for Cell Nuclei Image Segmentation

ENSEMBLE MODEL WITH IMPROVED U-NET-BASED SEGMENTATION FOR LEUKEMIA DETECTION

Automatic Segmentation of Cell Nuclei Using VGG-Res-U-Net Architecture