Unsupervised data-driven nuclei segmentation for histology images

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HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation

V Magoulianitis, Y Yang… - 2022 IEEE 14th Image …, 2022 - ieeexplore.ieee.org
A high-performance unsupervised nuclei instance segmentation (HU-NIS) method is
proposed in this work. HUNIS consists of two-stage block-wise operations. The first stage …
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Identifying Oral Carcinoma from Histopathological Image using Unsupervised Nuclear Segmentation

R Shukla, B Ajwani, S Sharma… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
Oral Cancer, a worldwide health concern, highlights the urgent need for accurate and swift
detection and cure. Current diagnosing strategies primarily involve pathologists for …
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Regional Lung Ventilation Map** at 0.55 T based on Feature Tracking

Y Yang, Z Zhao, Y Tian, RM Kato, SX Cui, CCJ Kuo… - archive.ismrm.org
Assessment of regional lung ventilation has significant clinical value for the diagnosis and
follow-up of pulmonary diseases. High-performance 0.55 T systems have provided new …
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