Výsledky vyhledávání - "Madabhushi, Anant"

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CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models

Autor: Fan, Fan, Martinez, Georgia, Desilvio, Thomas, Shin, John, Chen, Yijiang, Wang, Bangchen, Ozeki, Takaya, Lafarge, Maxime W., Koelzer, Viktor H., Barisoni, Laura, Madabhushi, Anant, Viswanath, Satish E., Janowczyk, Andrew

Batch effects (BEs) refer to systematic technical differences in data collection unrelated to biological variations whose noise is shown to negatively impact machine learning (ML) model generalizability. Here we release CohortFinder, an open-source t

Externí odkaz: http://arxiv.org/abs/2307.08673

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PatchSorter: A High Throughput Deep Learning Digital Pathology Tool for Object Labeling

Autor: Walker, Cedric, Talawalla, Tasneem, Toth, Robert, Ambekar, Akhil, Rea, Kien, Chamian, Oswin, Fan, Fan, Berezowska, Sabina, Rottenberg, Sven, Madabhushi, Anant, Maillard, Marie, Barisoni, Laura, Horlings, Hugo Mark, Janowczyk, Andrew

The discovery of patterns associated with diagnosis, prognosis, and therapy response in digital pathology images often requires intractable labeling of large quantities of histological objects. Here we release an open-source labeling tool, PatchSorte

Externí odkaz: http://arxiv.org/abs/2307.07528

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Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review

Autor: Zhu, Chuang, Liu, Shengjie, Yu, Zekuan, Xu, Feng, Aggarwal, Arpit, Corredor, Germán, Madabhushi, Anant, Qu, Qixun, Fan, Hongwei, Li, Fangda, Li, Yueheng, Guan, Xianchao, Zhang, Yongbing, Singh, Vivek Kumar, Akram, Farhan, Sarker, Md. Mostafa Kamal, Shi, Zhongyue, Jin, Mulan

For invasive breast cancer, immunohistochemical (IHC) techniques are often used to detect the expression level of human epidermal growth factor receptor-2 (HER2) in breast tissue to formulate a precise treatment plan. From the perspective of saving m

Externí odkaz: http://arxiv.org/abs/2305.03546

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Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers

Autor: Braman, Nathaniel, Prasanna, Prateek, Bera, Kaustav, Alilou, Mehdi, Khorrami, Mohammadhadi, Leo, Patrick, Etesami, Maryam, Vulchi, Manasa, Turk, Paulette, Gupta, Amit, Jain, Prantesh, Fu, Pingfu, Pennell, Nathan, Velcheti, Vamsidhar, Abraham, Jame, Plecha, Donna, Madabhushi, Anant

Purpose: Tumor-associated vasculature differs from healthy blood vessels by its chaotic architecture and twistedness, which promotes treatment resistance. Measurable differences in these attributes may help stratify patients by likely benefit of syst

Externí odkaz: http://arxiv.org/abs/2210.02273

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