Awgunet: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images

Ayush Roy; Payel Pramanik; Dmitrii Kaplun; Sergei Antonov; Ram Sarkar

doi:10.1109/isbi56570.2024.10635449

ScienceGate Book Chapters

JOURNAL ARTICLE

Awgunet: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images

Ayush Roy Payel Pramanik Dmitrii Kaplun Sergei Antonov Ram Sarkar

Year: 2024 Pages: 1-4

DOI: 10.1109/isbi56570.2024.10635449

Get Full-Text PDF Get Analytical Report

Keywords:

Artificial intelligence Wavelet Segmentation Histopathology Computer science Pattern recognition (psychology) Image segmentation Computer vision Medicine Pathology

Metrics

Cited By

5.11

FWCI (Field Weighted Citation Impact)

Refs

0.93

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Imaging and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Awgunet: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images

Metrics

Citation History

Topics

Related Documents

MIU-Net: MIX-Attention and Inception U-Net for Histopathology Image Nuclei Segmentation

Attention-Guided deep atrous-residual U-Net architecture for automated gland segmentation in colon histopathology images

Multi-headed Graph-Based Attention Aided U-Net Model for Nuclei Segmentation

BAWGNet: Boundary aware wavelet guided network for the nuclei segmentation in histopathology images

Extending U-Net Network for Improved Nuclei Instance Segmentation Accuracy in Histopathology Images