A fast hybrid classification algorithm with feature reduction for medical images

HAH Mahmoud, AA AlArfaj… - Applied Bionics and …, 2022 - Wiley Online Library
… and nucleus contours of the cell from Pap smear images. … color and texture features to
describe the Pap smear images. … The feature selection phase of our proposed method combines

Deep learning-aided analysis of 3D cell culture microscopic images to enhance the precision of the drug screening process: A use case for cervical cancer

T Maylaa - 2023 - theses.hal.science
… , a method that combines automatic imaging with quantitative … With grade 1 signifying mild
intensity and grade 4 as life … For the texture augmentation, we applied 2 levels of contrast …

Overlapping cytoplasms segmentation via constrained multi-shape evolution for cervical cancer screening

Y Song, A Zhang, J Zhou, Y Luo, Z Lin… - Artificial Intelligence in …, 2024 - Elsevier
… Segmenting overlapping cytoplasms in cervical smear images is … In the shape evolution,
we compensate the intensity … a different combination x i we are able to get a different shape

A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening

L Cao, J Yang, Z Rong, L Li, B Xia, C You, G Lou… - Medical image …, 2021 - Elsevier
image features including pixel intensity and wavelet features. … our model which combines
multi-scale feature fusion and the … the extracted morphological features in Pap test images can …

Active contours for overlapping cervical cell segmentation

FHD Araújo, RRV Silva… - International …, 2021 - inderscienceonline.com
… The Pap smear exam consists of a sample of cells that are … method for cervical cell
segmentation that combines classical … We carried out tests on synthetic and real cervical cell

VisionCervix: Papanicolaou cervical smears classification using novel CNN-Vision ensemble approach

R Maurya, NN Pandey, MK Dutta - Biomedical Signal Processing and …, 2023 - Elsevier
… of pap smear images of the cervical cell by combining the … extracted from the cell images
using intensity, texture and … image 2,5 and 7 the ViT focus more precisely on the nuclei

A survey on deep learning-based cervical cytology screening: from cell identification to whole slide image analysis

P Jiang, X Li, H Shen, Y Chen, L Wang, H Chen… - 2023 - researchsquare.com
Pap smear cell images including both non-ThinPrep Pap test … CVM-Cervix first combined
a CNN module with a visual … ) was introduced to enhance the strength and robustness of the …

Deep auto encoder based extreme learning system for automatic segmentation of cervical cells

TS Sheela Shiney, RJ Rose - IETE Journal of Research, 2023 - Taylor & Francis
Pap smear images for the automatic detection of cancer cells. … more values to decide whether
an image is textured or not. (14… levels in the image represent the strength of the histogram: …

Searching for cell signatures in multidimensional feature spaces

R Silva, F Araújo, M Rezende… - International …, 2021 - inderscienceonline.com
… Furthermore, texture features allow intensity variation … cervical screen cell from conventional
Pap smear images, … seven composite feature sets from cervical cells images, combined to …

Cytology image analysis techniques toward automation: Systematically revisited

S Mitra, N Das, S Dey, S Chakraborty… - ACM Computing …, 2021 - dl.acm.org
… size, grey level intensity of nucleus, size and grey level intensity … ICM combined with cuckoo
search algorithm segment the … cancerous cells from multispectral pap smear images. During …