Deep Learning Prediction of Ovarian Malignancy at US Compared with O-RADS and Expert Assessment

Chen, Hui, Yang, Bo-Wen, Qian, Le, Meng, Yi-Shuang, Bai, Xiang-Hui, Hong, Xiao-Wei, He, Xin, Jiang, Mei-Jiao +3 more·2022·Radiology

Cited by (111)

Items 101–111 of 111

  1. Diagnostic accuracy of ovarian cancer using convolutional neural network: a systematic review and meta-analysis
    Leila Allahqoli, Atieh Karimzadeh, Ali Kazemi Abadi, Seyedeh Zahra Aghamohammadi, Sevil Hakimi, Azam Rahmani, Arezoo Fallahi, Hamid Salehiniya, Antonio Simone Laganà, Akshaya Srikanth Bhagavathula et al. · 2026 · BMC Medical Informatics and Decision Making
  2. Hybrid CNN-Transformer Model for Ovarian Cancer Lesion Classification
    Takwa Ben Aïcha Gader, Soumaya Hamrouni, Afef Kacem Echi · 2026 · Communications in computer and information science
  3. Refined risk stratification with O-RADS ultrasound v2022: Diagnostic performance compared with v2019 and the ADNEX model
    Xueqing Wei, Wen Yang, Fangxuan Li, Luchen Chang, Li Wang, Chunlan Shi, Tan Zhang, Jialin Zhu, Xi Wei · 2026 · European Journal of Radiology
  4. From ACR O‐RADS 2022 to Explainable Deep Learning
    Ali Abbasian Ardakani, Afshin Mohammadi, Alisa Mohebbi, Anushya Vijayananthan, Sook Sam Leong, Yi Ting Lim, Mohd Kamil Bin Mohd Fabell, Gernot Hudelist, Balint Balogh, Marlina Tanty Ramli Hamid et al. · 2026 · Journal of Ultrasound in Medicine
  5. Deep Learning–Based Ultrasound Screening Pipeline for the Diagnosis of Ovarian Masses: A Retrospective Multicenter Validation Study
    Mateo Alvarez, Sofia Herrera, Diego Cruz, Andres Castro · 2026 · Interdisciplinary Research in Medical Sciences Specialty
  6. Artificial intelligence in reproductive medicine and education: current evidence, challenges, and future directions
    Jianye Wang, Zhicheng Jia, Keliang Wu, Penglin Liu, Jiale Du, Li Li · 2026 · Journal of Assisted Reproduction and Genetics
  7. MRI-based radiomics analysis and machine learning in the differentiation of endometriomas from hemorrhagic ovarian cysts
    Armin Doostparast, Zahra Alami, Sajjad Sadeghpour, Maryam Ghandhari, Mohamad Amin Bakhshali, Parvaneh Layegh · 2026 · European Journal of Radiology Open
  8. Doppler-based Radiomics Integrated With Frozen Section Analysis Enhances Borderline Ovarian Tumor Prediction: A Multicenter Study
    Shanshan Zhang, Wenqian Wang, Xiaomin Liu, Xuezhen Lou, Lei Xu, Jing Yang, Xi Hu, Bo Lv, Litao Sun, Jian Chen et al. · 2026 · Ultrasound in Medicine & Biology
  9. Diagnostic performance of ultrasonography-based risk models in differentiating between benign and malignant ovarian tumors in a Chinese cohort
    WeiMei Li, Ziwei Sun, Qin Huang, Junhong Zhou, Yanming Li, Ying Gao, Meng Li · 2026 · Frontiers in Oncology
  10. CystNet-73 a Novel Deep Learning Network for Ovarian Cyst Classification
    Munish Sood, Emjee Puthooran, Nishant Jain · 2026 · Indian Journal of Gynecologic Oncology
  11. Development and Multicenter Validation of a Hybrid Radiomics-Deep Learning Model for Risk Stratification of O-RADS 4 Adnexal Masses
    Yueting Sun, Hui Shen, Yujun Gu, Rongrong Sun, Yujuan Dai, Qiao Zheng, Liu Du, Miao He, Lihe Zhang, Yuting Jiang et al. · 2026 · Academic Radiology