Toward Deploying a Deep Learning Model for Diagnosis of Rhabdomyosarcoma-Reference-Cited by-同舟云学术

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Toward Deploying a Deep Learning Model for Diagnosis of Rhabdomyosarcoma

Published:2024-03 Issue:3 Volume:37 Page:100421
ISSN:0893-3952
Container-title:Modern Pathology
language:en
Short-container-title:Modern Pathology

Author:

Ho David Joon^ORCID,Agaram Narasimhan P.,Frankel Arthur O.,Lathara Melvin,Catchpoole Daniel,Keller Charles,Hameed Meera R.^ORCID

Publisher

Elsevier BV

Reference6 articles.

1. Machine learning for rhabdomyosarcoma histopathology;Frankel;Mod Pathol,2022

2. Deep learning-based objective and reproducible osteosarcoma chemotherapy response assessment and outcome prediction;Ho;Am J Pathol,2023

3. Deep learning-based histotype diagnosis of ovarian carcinoma whole-slide pathology images;Farahani;Mod Pathol,2022

4. Robust Interactive Semantic Segmentation of Pathology Images With Minimal User Input;Jahanifar,2021

5. Use of a novel deep learning open-source model for quantification of Ki-67 in breast cancer patients in Pakistan: a comparative study between the manual and automated methods;Zehra;Diagnostics (Basel),2023

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