In this work, we propose a novel deep learning-based framework for automated nuclear atypia scoring of breast cancer from histopathology slide images.
In this work, we propose a novel deep learning-based framework for automated nuclear atypia scoring of breast cancer from histopathology slide images. The ...
In addition, when the success levels were analyzed, it was determined that the ResNet101 deep learning network, with a success rate of 99.3%, showed a higher ...
2023/02/19 · A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinoma. https://doi.org/10.1016/j.engappai.
2022/11/08 · In this work, we reported a fully automated deep-learning method for scoring nuclear pleomorphism in breast cancer through reformulating the ...
2022/09/06 · In this study, we trained and evaluated a deep learning-based breast cancer grading model that works on whole-slide histopathology images.
Using machine learning, COMPASS combines these two sets of features and output nuclear atypia score. COMPASS's performance was evaluated using 300 images for ...
2022/01/20 · Computer-aided histopathological image analysis techniques for automated nuclear atypia scoring of breast cancer: a review.
関連する質問
What is the nuclear atypia score?
What are deep learning based methods for breast cancer diagnosis?
What is the score for nuclear pleomorphism?
What is nuclear pleomorphism?
Abstract. Nuclear atypia scoring (NAS), forms a significant factor in determining individualized treatment plans and also for the prognosis of the disease.
A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinoma. Tojo Mathew, C.I. Johnpaul, B. Ajith, Jyoti R. Kini ...