Segmentation of Cytology Images to Detect Cervical Cancer Using Deep Learning Techniques
BZ Wubineh, A Rusiecki, K Halawa - International Conference on …, 2024 - Springer
Cervical cancer is the fourth most common cancer among women. Every year, more than
200,000 women die due to cervical cancer; however, it is a preventable disease if detected …
200,000 women die due to cervical cancer; however, it is a preventable disease if detected …
Semi-supervised attention-guided cyclegan for data augmentation on medical images
Z Xu, C Qi, G Xu - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Recently, deep learning methods, in particular, convolutional neural networks (CNNs), have
made a massive breakthrough in computer vision. And a big amount of annotated data is the …
made a massive breakthrough in computer vision. And a big amount of annotated data is the …
Cervical cancer diagnosis using cervixnet-a deep learning approach
Cervical cancer affects 570,000 women globally and is among the most common causes of
cancer-related deaths. Cervical cancer is caused due to the Human Papilloma Virus (HPV) …
cancer-related deaths. Cervical cancer is caused due to the Human Papilloma Virus (HPV) …
Exploring deep convolution neural networks with transfer learning for transformation zone type prediction in cervical cancer
Cancer of the cervix is one of the most common types of women's cancer. Cervical
malignancy can be reasonably neutralized if distinguished in the initial stage. Classification …
malignancy can be reasonably neutralized if distinguished in the initial stage. Classification …
Generative adversarial network with masking bits based image augmentation technique for nuclei image classification
In the domain of medical image analytics, especially in nuclei cell image analysis, the major
challenges associated with it is the availability of smaller amount of interpreted samples of …
challenges associated with it is the availability of smaller amount of interpreted samples of …
Evaluating convolution neural network optimization algorithms for classification of cervical cancer macro images
In this study, Convolution Neural Network (CNN)-based learning method, which is well-used
in deep learning is applied to evaluate optimization algorithms for improved accuracy in …
in deep learning is applied to evaluate optimization algorithms for improved accuracy in …
Cervical cancer diagnosis using very deep networks over different activation functions
Cancer prevention is mainly achieved by screening the transformation zones. Cervical pre-
cancerous stages can be seen in three different types, and all can transform into cancer …
cancerous stages can be seen in three different types, and all can transform into cancer …
GAN based data augmentation for enhanced tumor classification
With the incredible breakthrough of medical imaging intertwined with the computer aided
diagnosis and artificial intelligence paved a way for the early detection of tumor. Though …
diagnosis and artificial intelligence paved a way for the early detection of tumor. Though …
[HTML][HTML] Enhancing cervical cancer diagnosis with graph convolution network: AI-powered segmentation, feature analysis, and classification for early detection
Cervical cancer is a prevalent disease affecting the cervix cells in women and is one of the
leading causes of mortality for women globally. The Pap smear test determines the risk of …
leading causes of mortality for women globally. The Pap smear test determines the risk of …
Optimizing alexnet using swarm intelligence for cervical cancer classification
In this study, we optimized a convolutional neural network model ie AlexNet to classify
images of cervical cancer cells. Although having canonical CNN architecture, AlexNet is …
images of cervical cancer cells. Although having canonical CNN architecture, AlexNet is …