过去一年中添加的文章，按日期排序
O-026 Development of deep learning-based model for differential diagnosis of ovarian neoplasm using pelvic ultrasonography
H Paik, YH Hong, SK Kim, S Jeong, D Choe… - Human …, 2024 - academic.oup.com
8 天前 - … deep learning architectures applied to classification tasks within ultrasound
imaging … efficacy of each model in ultrasound image classification, with ConvNext demonstrating …
imaging … efficacy of each model in ultrasound image classification, with ConvNext demonstrating …
Developing a deep learning model for predicting ovarian cancer in Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS US) Category 4 lesions: A …
W Xie, W Lin, P Li, H Lai, Z Wang, P Liu, Y Huang… - 2024 - researchsquare.com
31 天前 - … integration using machine learning improves risk strati cation of high-grade serous
… Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in …
… Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in …
[PDF][PDF] Pelvic ultrasound-based deep learning models for accurate diagnosis of ovarian cancer: retrospective multicenter study
HW Cho, H Cho, J Kim, S Kim, S Lee, JY Song… - 2024 - ejgo.org
40 天前 - … a deep learning model with advanced accuracy of differential diagnosis between
malignant and benign lesions of ovary. … marker to classify these images as either malignant or …
malignant and benign lesions of ovary. … marker to classify these images as either malignant or …
Radiomics analysis of ultrasound images to discriminate between benign and malignant adnexal masses with solid ultrasound morphology
54 天前 - … solid ovarian masses, and to develop ultrasound-based machine learning models
that … Even though the discriminative and classification ability of our radiomics model was …
that … Even though the discriminative and classification ability of our radiomics model was …
[HTML][HTML] Ultrasound image-based nomogram combining clinical, radiomics, and deep transfer learning features for automatic classification of ovarian masses …
L Liu, W Cai, H Tian, B Wu, J Zhang, T Wang… - Frontiers in …, 2024 - ncbi.nlm.nih.gov
83 天前 - … benign and malignant ovarian masses is crucial … ultrasound image-based nomogram
combining clinical, radiomics, and deep transfer learning features to automatically classify …
combining clinical, radiomics, and deep transfer learning features to automatically classify …
An Intelligent Computer Aided Diagnosis System for Classification of Ovarian Masses using Machine Learning Approach
84 天前 - … of ovarian tumors in obstetric ultrasound imaging using an advanced machine
learning … By integrating sophisticated feature extraction and machine learning methods, the …
learning … By integrating sophisticated feature extraction and machine learning methods, the …
Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study
Y Du, W Guo, Y Xiao, H Chen, J Yao, J Wu - BMC Medical Imaging, 2024 - Springer
84 天前 - … in multiclass classification. We inputted the best features into machine learning (ML) …
US images of the maximum trimmed ovarian tumour sections were inputted into a pre-…
US images of the maximum trimmed ovarian tumour sections were inputted into a pre-…
Multi-modality deep learning model reaches high prediction accuracy in the diagnosis of ovarian cancer
Z Wang, S Luo, J Chen, Y Jiao, C Cui, S Shi, Y Yang… - Iscience, 2024 - cell.com
126 天前 - … study included 1,054 ultrasound (US)-detected ovarian tumors (699 benign … ovarian
US images, we used gradient-weighted class activation maps to visualize the classification …
US images, we used gradient-weighted class activation maps to visualize the classification …
Identification of Uterine Fibroids in Medical Pictures Employing Deep Neural Networks
A Mohanty, P Pattnayak… - … Conference on Emerging …, 2024 - ieeexplore.ieee.org
151 天前 - … Additionally, we used deep learning methods to accurately classify the photos. …
and test deep neural network models and assess their performance in ovarian tumour patient …
and test deep neural network models and assess their performance in ovarian tumour patient …
Performance evaluation of optimized convolutional neural network mechanism in the detection and classification of ovarian cancer
SR Kongara, S Prakasha, A Brindha, SK Pathak… - Multimedia Tools and …, 2024 - Springer
153 天前 - … To identify ovarian cancers using deep learning techniques that utilize … tumor
classification techniques. This study proposes a novel approach that combines ultrasound image …
classification techniques. This study proposes a novel approach that combines ultrasound image …