Scalable Nuclei Detection in HER2-SISH Whole Slide Images via Fine-Tuned Stardist with Expert-Annotated Regions of Interest

<b>Background:</b> Breast cancer remains a critical health concern worldwide, with histopathological analysis of tissue biopsies serving as the clinical gold standard for diagnosis. Manual evaluation of histopathology images is time-intensive and requires specialized expertise, often resulting in va...

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主要な著者:	Zaka Ur Rehman, Mohammad Faizal Ahmad Fauzi, Wan Siti Halimatul Munirah Wan Ahmad, Fazly Salleh Abas, Phaik-Leng Cheah, Seow-Fan Chiew, Lai-Meng Looi
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-06-01
シリーズ:	Diagnostics
主題:	deep learning digital pathology human epidermal growth factor receptor 2 (HER2) silver-enhanced in situ hybridization (SISH)
オンライン･アクセス:	https://www.mdpi.com/2075-4418/15/13/1584
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