AIMC Topic: Ovarian Neoplasms

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Application of machine learning techniques for predicting survival in ovarian cancer.

BMC medical informatics and decision making Dec 30, 2022
BACKGROUND: Ovarian cancer is the fifth leading cause of mortality among women in the United States. Ovarian cancer is also known as forgotten cancer or silent disease. The survival of ovarian cancer patients depends on several factors, including the...
Humans Machine Learning Female Ovarian Neoplasms Random Forest Algorithms Prognosis
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Stratification of Length of Stay Prediction following Surgical Cytoreduction in Advanced High-Grade Serous Ovarian Cancer Patients Using Artificial Intelligence; the Leeds L-AI-OS Score.

Current oncology (Toronto, Ont.) Nov 23, 2022
(1) Background: Length of stay (LOS) has been suggested as a marker of the effectiveness of short-term care. Artificial Intelligence (AI) technologies could help monitor hospital stays. We developed an AI-based novel predictive LOS score for advanced...
Artificial Intelligence Female Length of Stay Humans Cytoreduction Surgical Procedures Ovarian Neoplasms Carcinoma, Ovarian Epithelial
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Automatic ovarian tumors recognition system based on ensemble convolutional neural network with ultrasound imaging.

BMC medical informatics and decision making Nov 17, 2022
BACKGROUND: Upon the discovery of ovarian cysts, obstetricians, gynecologists, and ultrasound examiners must address the common clinical challenge of distinguishing between benign and malignant ovarian tumors. Numerous types of ovarian tumors exist, ...
Humans Neural Networks, Computer Ovarian Neoplasms Ultrasonography Diagnosis, Differential Female Reproducibility of Results
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DeepCAN: A Modular Deep Learning System for Automated Cell Counting and Viability Analysis.

IEEE journal of biomedical and health informatics Nov 11, 2022
Precise and quick monitoring of key cytometric features such as cell count, size, morphology, and DNA content is crucial in life science applications. Traditionally, image cytometry relies on visual inspection of hemocytometers. This approach is erro...
Ovarian Neoplasms Cell Line, Tumor Image Processing, Computer-Assisted Humans Female Deep Learning Neural Networks, Computer
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Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder.

Scientific reports Oct 11, 2022
Discrimination of ovarian tumors is necessary for proper treatment. In this study, we developed a convolutional neural network model with a convolutional autoencoder (CNN-CAE) to classify ovarian tumors. A total of 1613 ultrasound images of ovaries w...
Ovarian Neoplasms Humans Female ROC Curve Neural Networks, Computer
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Prediction Model of Residual Neural Network for Pathological Confirmed Lymph Node Metastasis of Ovarian Cancer.

BioMed research international Oct 11, 2022
PURPOSE: We want to develop a model for predicting lymph node status based on positron emission computed tomography (PET) images of untreated ovarian cancer patients. We use the feature map formed by wavelet transform and the parameters obtained by i...
Carcinoma, Ovarian Epithelial Lymph Nodes Lymphatic Metastasis Retrospective Studies Positron Emission Tomography Computed Tomography Female Positron-Emission Tomography Humans Ovarian Neoplasms Neural Networks, Computer
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Automatic Detection and Segmentation of Ovarian Cancer Using a Multitask Model in Pelvic CT Images.

Oxidative medicine and cellular longevity Oct 11, 2022
Ovarian cancer is one of the most common malignant tumours of female reproductive organs in the world. The pelvic CT scan is a common examination method used for the screening of ovarian cancer, which shows the advantages in safety, efficiency, and p...
Tomography, X-Ray Computed Female Humans Ovarian Neoplasms Deep Learning Image Processing, Computer-Assisted
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Deep-Learning to Predict BRCA Mutation and Survival from Digital H&E Slides of Epithelial Ovarian Cancer.

International journal of molecular sciences Sep 26, 2022
BRCA 1/2 genes mutation status can already determine the therapeutic algorithm of high grade serous ovarian cancer patients. Nevertheless, its assessment is not sufficient to identify all patients with genomic instability, since BRCA 1/2 mutations ar...
Female Deep Learning Germ-Line Mutation Humans BRCA1 Protein Carcinoma, Ovarian Epithelial Ovarian Neoplasms Eosine Yellowish-(YS) Mutation Hematoxylin
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Deep learning-based histotype diagnosis of ovarian carcinoma whole-slide pathology images.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Sep 5, 2022
Ovarian carcinoma has the highest mortality of all female reproductive cancers and current treatment has become histotype-specific. Pathologists diagnose five common histotypes by microscopic examination, however, histotype determination is not strai...
Carcinoma, Ovarian Epithelial Ovarian Neoplasms Carcinoma Female Deep Learning Neural Networks, Computer Artificial Intelligence Humans
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Ovarian Cancer-Self Assessment: An Innovation for Early Detection and Risk Assessment of Ovarian Cancer.

Asian Pacific journal of cancer prevention : APJCP Aug 1, 2022
OBJECTIVE: The modality to detect ovarian cancer at an early stage is very limited. Early diagnosis determines the prognosis. This study aimed to develop a risk assessment tool for early detection of ovarian cancer using artificial intelligence. To a...
Ovarian Neoplasms Carcinoma, Ovarian Epithelial Cohort Studies Humans Early Detection of Cancer Artificial Intelligence Female Risk Assessment
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