Artificial intelligence in cytopathology: a review of the literature and overview of commercial landscape
MS Landau, L Pantanowitz - Journal of the American Society of …, 2019 - Elsevier
Artificial intelligence (AI) has made impressive strides recently in interpreting complex
images, thanks to improvements in deep learning techniques and increasing computational …
images, thanks to improvements in deep learning techniques and increasing computational …
Application and performance of artificial intelligence technology in cytopathology
AR Alrafiah - Acta Histochemica, 2022 - Elsevier
Deep learning algorithms and artificial intelligence (AI) are making great progress in their
capacity to evaluate and interpret image data recent advancements in computer vision and …
capacity to evaluate and interpret image data recent advancements in computer vision and …
Computer-aided diagnosis in histopathological images of the endometrium using a convolutional neural network and attention mechanisms
H Sun, X Zeng, T Xu, G Peng… - IEEE journal of biomedical …, 2019 - ieeexplore.ieee.org
Uterine cancer (also known as endometrial cancer) can seriously affect the female
reproductive system, and histopathological image analysis is the gold standard for …
reproductive system, and histopathological image analysis is the gold standard for …
Diagnosis of endometrium hyperplasia and screening of endometrial intraepithelial neoplasia in histopathological images using a global-to-local multi-scale …
F Zhao, D Dong, H Du, Y Guo, X Su, Z Wang… - Computer Methods and …, 2022 - Elsevier
Background and objective Endometrial hyperplasia (EH), a uterine pathology characterized
by an increased gland-to-stroma ratio compared to normal endometrium (NE), may precede …
by an increased gland-to-stroma ratio compared to normal endometrium (NE), may precede …
Convolutional neural networks for classifying cervical cancer types using histological images
Y Li, F Chen, J Shi, Y Huang, M Wang - Journal of Digital Imaging, 2023 - Springer
Cervical cancer is the most common cancer among women worldwide. The diagnosis and
classification of cancer are extremely important, as it influences the optimal treatment and …
classification of cancer are extremely important, as it influences the optimal treatment and …
[HTML][HTML] Deep-Learning–Based Screening and Ancillary Testing for Thyroid Cytopathology
Thyroid cancer is the most common malignant endocrine tumor. The key test to assess
preoperative risk of malignancy is cytologic evaluation of fine-needle aspiration biopsies …
preoperative risk of malignancy is cytologic evaluation of fine-needle aspiration biopsies …
Image analysis and multi‐layer perceptron artificial neural networks for the discrimination between benign and malignant endometrial lesions
GM Makris, A Pouliakis, C Siristatidis… - Diagnostic …, 2017 - Wiley Online Library
Background This study aims to investigate the efficacy of an Artificial Neural Network based
on Multi‐Layer Perceptron (ANN–MPL) to discriminate between benign and malignant …
on Multi‐Layer Perceptron (ANN–MPL) to discriminate between benign and malignant …
Radial basis function artificial neural network for the investigation of thyroid cytological lesions
C Fragopoulos, A Pouliakis… - Journal of thyroid …, 2020 - Wiley Online Library
Objective. This study investigates the potential of an artificial intelligence (AI) methodology,
the radial basis function (RBF) artificial neural network (ANN), in the evaluation of thyroid …
the radial basis function (RBF) artificial neural network (ANN), in the evaluation of thyroid …
Applying artificial intelligence to gynecologic oncology: a review
DP Mysona, DS Kapp, A Rohatgi, D Lee… - Obstetrical & …, 2021 - journals.lww.com
Applying Artificial Intelligence to Gynecologic Oncology: A... : Obstetrical & Gynecological
Survey Applying Artificial Intelligence to Gynecologic Oncology: A Review : Obstetrical & …
Survey Applying Artificial Intelligence to Gynecologic Oncology: A Review : Obstetrical & …
A decision tree to assess short-term mortality after an emergency department visit for an exacerbation of COPD: a cohort study
Background Creating an easy-to-use instrument to identify predictors of short-term (30/60-
day) mortality after an exacerbation of chronic obstructive pulmonary disease (eCOPD) …
day) mortality after an exacerbation of chronic obstructive pulmonary disease (eCOPD) …