Challenges developing deep learning algorithms in cytology
ED McAlpine, L Pantanowitz, PM Michelow - Acta Cytologica, 2021 - karger.com
… The implementation of AI algorithms in cytology is greatly enabled by a digital workflow …
deep learning in cytology. There are several aspects related to the image acquisition of cytology …
deep learning in cytology. There are several aspects related to the image acquisition of cytology …
The emerging role of deep learning in cytology
P Dey - Cytopathology, 2021 - Wiley Online Library
… In this review, the basic concepts of deep learning and convolutional neural … images of
the cytology slides is needed to input data in ANN. Feature extraction from the cytology images …
the cytology slides is needed to input data in ANN. Feature extraction from the cytology images …
A survey for cervical cytopathology image analysis using deep learning
… The motivation of this article is to give a comprehensive overview of deep learning in
cervical cytopathology image analysis as well as popular deep learning techniques, and their …
cervical cytopathology image analysis as well as popular deep learning techniques, and their …
Deep learning for computational cytology: A survey
… of cytological studies. In this article, we survey more than 120 publications of DL-based
cytology image … We first introduce various deep learning schemes, including fully supervised, …
cytology image … We first introduce various deep learning schemes, including fully supervised, …
Accuracy and efficiency of deep-learning–based automation of dual stain cytology in cervical cancer screening
N Wentzensen, B Lahrmann, MA Clarke… - JNCI: Journal of the …, 2021 - academic.oup.com
… Furthermore, by demonstrating that AI-based DS detection works for anal cytology, we show
the robustness of the imaging and analysis platform. Importantly, our approach is also suited …
the robustness of the imaging and analysis platform. Importantly, our approach is also suited …
[HTML][HTML] Analysis of cytology pap smear images based on ensemble deep learning approach
… [8] proposed Automated Visual Examination (AVE) as a deep learning technique that … deep
learning technique to distinguish between cervix and non-cervix images in a cervical image …
learning technique to distinguish between cervix and non-cervix images in a cervical image …
[HTML][HTML] A deep learning model for cervical cancer screening on liquid-based cytology specimens in whole slide images
F Kanavati, N Hirose, T Ishii, A Fukuda, S Ichihara… - Cancers, 2022 - mdpi.com
… the use of deep learning for the classification of whole-slide images of liquid-based cytology
… performance in classifying whole-slide images, demonstrating the promising potential use …
… performance in classifying whole-slide images, demonstrating the promising potential use …
Deep learning based digital cell profiles for risk stratification of urine cytology images
… In the next section, we review previous work on cytology images. In Section 2, we
describe the details of our dataset and our methodology for cell segmentation, detection and …
describe the details of our dataset and our methodology for cell segmentation, detection and …
Cx22: A new publicly available dataset for deep learning-based segmentation of cervical cytology images
G Liu, Q Ding, H Luo, M Sha, X Li, M Ju - Computers in Biology and …, 2022 - Elsevier
… cytology images named Cx22, which consists of the completely annotated labels of the
cellular instances based on the open-source images … cellular instances in1320 images that are …
cellular instances based on the open-source images … cellular instances in1320 images that are …
[HTML][HTML] Deep learning for lung cancer diagnosis, prognosis and prediction using histological and cytological images: a systematic review
… Microscopic examination of histological and cytological lung specimens can be a …
Deep Learning-based methods on lung cancer by using histological and cytological images…
Deep Learning-based methods on lung cancer by using histological and cytological images…
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