Deep Residual Network With Integrated StarDist Nuclei Segmentation for Papillary Thyroid Cancer Identification: A Pathologist-Inspired Approach

Deep Residual Network With Integrated StarDist Nuclei Segmentation for Papillary Thyroid Cancer Identification: A Pathologist-Inspired Approach

Papillary Thyroid Carcinoma (PTC) is the most frequently occurring type of thyroid cancer. Diagnosing PTC using histopathological imaging as the gold standard in clinical practice remains challenging. The rise of Artificial Intelligence (AI) has accelerated the development of fast and accurate compu...

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Bibliographic Details
Main Authors: Nabila Husna Shabrina, Dadang Gunawan, Mia Rizkinia, Agnes Stephanie Harahap, Mohammad Ikhsan, Rifai Chai, Maria Francisca Ham
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Histopathology image
nuclei segmentation
papillary thyroid cancer
residual networks
StarDist
Online Access:https://ieeexplore.ieee.org/document/11062616/
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https://ieeexplore.ieee.org/document/11062616/

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