Automatic Approach for Cervical Cancer Detection and Segmentation Using Neural Network Classifier
Author:
Publisher
EpiSmart Science Vector Ltd
Subject
Cancer Research,Public Health, Environmental and Occupational Health,Oncology,Epidemiology
Link
http://journal.waocp.org/article_77414_8a2a6c34820acf3c43c34be2995b2052.pdf
Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture;Neural Computing and Applications;2024-09-14
2. HO-SsNF: heap optimizer-based self-systematized neural fuzzy approach for cervical cancer classification using pap smear images;Frontiers in Oncology;2024-05-01
3. Deep learning techniques for cervical cancer diagnosis based on pathology and colposcopy images;Informatics in Medicine Unlocked;2024
4. A Review of Computer-Aided Diagnostic Algorithms for Cervical Neoplasia and an Assessment of Their Applicability to Female Genital Schistosomiasis;Mayo Clinic Proceedings: Digital Health;2023-09
5. Comparative Analysis of Deep Learning Pre- Trained Models and Machine Learning Classifiers for Accurate Cervical Cancer Diagnosis using Colposcopy Images;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18
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