Decoding Cellular Structures: A Collaborative Exploration of Nuclei Segmentation with U-NET & YoLoV8L
Author:
Affiliation:
1. Vellore Institute of Technology,School of Electronics Engineering,Vellore,India
2. Computational Pathology Tata Memorial Center,Navi Mumbai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10574534/10574536/10574697.pdf?arnumber=10574697
Reference15 articles.
1. UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2. Attention U-Net: Learning Where to Look for the Pancreas;Oktay;arXiv.org,2018
3. Real-Time Flying Object Detection with YOLOv8;Reis;arXiv.org,2023
4. DSCA-Net: Double-stage Codec Attention Network for automatic nuclear segmentation;DSCA-Net: Double-stage Codec Attention Network for automatic nuclear segmentation-ScienceDirect,2023
5. RGGC-UNet: Accurate Deep Learning Framework for Signet Ring Cell Semantic Segmentation in Pathological Images
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