AIMC Topic: Cervix Uteri
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Integration of AI-Assisted in Digital Cervical Cytology Training: A Comparative Study.
Cytopathology : official journal of the British Society for Clinical Cytology
Dec 8, 2024
OBJECTIVE: This study aimed to investigate the supporting role of artificial intelligence (AI) in digital cervical cytology training.
Enhancing advanced cervical cell categorization with cluster-based intelligent systems by a novel integrated CNN approach with skip mechanisms and GAN-based augmentation.
Scientific reports
Nov 23, 2024
Cervical cancer is one of the biggest challenges in global health, thus it forms a critical need for early detection technologies that could improve patient prognosis and inform treatment decisions. This development in the form of an early detection ...
Enhancing pap smear image classification: integrating transfer learning and attention mechanisms for improved detection of cervical abnormalities.
Biomedical physics & engineering express
Sep 30, 2024
Cervical cancer remains a major global health challenge, accounting for significant morbidity and mortality among women. Early detection through screening, such as Pap smear tests, is crucial for effective treatment and improved patient outcomes. How...
Multiparametric MRI-based radiomics combined with 3D deep transfer learning to predict cervical stromal invasion in patients with endometrial carcinoma.
Abdominal radiology (New York)
Sep 14, 2024
OBJECTIVE: To develop and compare various preoperative cervical stromal invasion (CSI) prediction models, including radiomics, three-dimensional (3D) deep transfer learning (DTL), and integrated models, using single-sequence and multiparametric MRI.
Aged
Adult
Radiomics
Middle Aged
Humans
Retrospective Studies
Female
Predictive Value of Tests
Image Interpretation, Computer-Assisted
Endometrial Neoplasms
Multiparametric Magnetic Resonance Imaging
Magnetic Resonance Imaging
Cervix Uteri
Neoplasm Invasiveness
Deep Learning
Imaging, Three-Dimensional
Contrast Media
DCE-Qnet: deep network quantification of dynamic contrast enhanced (DCE) MRI.
Magma (New York, N.Y.)
Aug 8, 2024
INTRODUCTION: Quantification of dynamic contrast-enhanced (DCE)-MRI has the potential to provide valuable clinical information, but robust pharmacokinetic modeling remains a challenge for clinical adoption.
A two-stream decision fusion network for cervical pap-smear image classification tasks.
Tissue & cell
Jul 31, 2024
Deep learning, especially Convolution Neural Networks (CNNs), has demonstrated superior performance in image recognition and classification tasks. They make complex pattern recognition possible by extracting image features through layers of abstracti...
An improved approach for automated cervical cell segmentation with PointRend.
Scientific reports
Jun 20, 2024
Regular screening for cervical cancer is one of the best tools to reduce cancer incidence. Automated cell segmentation in screening is an essential task because it can present better understanding of the characteristics of cervical cells. The main ch...
SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection.
IEEE journal of biomedical and health informatics
Jun 6, 2024
Cervical abnormal cell detection plays a crucial role in the early screening of cervical cancer. In recent years, some deep learning-based methods have been proposed. However, these methods rely heavily on large amounts of annotated images, which are...
Distillation of multi-class cervical lesion cell detection via synthesis-aided pre-training and patch-level feature alignment.
Neural networks : the official journal of the International Neural Network Society
May 22, 2024
Automated detection of cervical abnormal cells from Thin-prep cytologic test (TCT) images is crucial for efficient cervical abnormal screening using computer-aided diagnosis systems. However, the construction of the detection model is hindered by the...
Artificial intelligence enables precision diagnosis of cervical cytology grades and cervical cancer.
Nature communications
May 22, 2024
Cervical cancer is a significant global health issue, its prevalence and prognosis highlighting the importance of early screening for effective prevention. This research aimed to create and validate an artificial intelligence cervical cancer screenin...
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