A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images
E Hussain, LB Mahanta, CR Das, M Choudhury… - Artificial Intelligence in …, 2020 - Elsevier
Pap smear is often employed as a screening test for diagnosing cervical pre-cancerous and
cancerous lesions. Accurate identification of dysplastic changes amongst the cervical cells …
cancerous lesions. Accurate identification of dysplastic changes amongst the cervical cells …
CNN based segmentation of nuclei in PAP-smear images with selective pre-processing
Cervical cancer is the second most common cause of death among women worldwide, but it
can be treated if detected early. However, due to inter and intra observer variability in …
can be treated if detected early. However, due to inter and intra observer variability in …
Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling
The task of segmenting nuclei and cytoplasm in Papanicolau smear images is one of the
most challenging tasks in automated cervix cytological analysis owing to the high degree of …
most challenging tasks in automated cervix cytological analysis owing to the high degree of …
Segmentation and classification of cervical cells using deep learning
KHS Allehaibi, LE Nugroho, L Lazuardi… - IEEE …, 2019 - ieeexplore.ieee.org
Cervical cancer is the fourth most prevalent disease in women. Accurate and timely cancer
detection can save lives. Automatic and reliable cervical cancer detection methods can be …
detection can save lives. Automatic and reliable cervical cancer detection methods can be …
Automatic segmentation of cervical nuclei based on deep learning and a conditional random field
Y Liu, P Zhang, Q Song, A Li, P Zhang, Z Gui - IEEE Access, 2018 - ieeexplore.ieee.org
Automatic and accurate cervical nucleus segmentation is important because nuclei carry
substantial diagnostic information for automatic computer-assisted cervical cancer screening …
substantial diagnostic information for automatic computer-assisted cervical cancer screening …
Automated segmentation of cervical nuclei in pap smear images using deformable multi-path ensemble model
Pap smear testing has been widely used for detecting cervical cancers based on the
morphological properties of cell nuclei in microscopic image. An accurate nuclei …
morphological properties of cell nuclei in microscopic image. An accurate nuclei …
DeepPap: deep convolutional networks for cervical cell classification
Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a
highly effective cell imaging based cancer detection tool, where cells are partitioned into …
highly effective cell imaging based cancer detection tool, where cells are partitioned into …
Al-net: Attention learning network based on multi-task learning for cervical nucleus segmentation
J Zhao, YJ He, SQ Zhao, JJ Huang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Cervical nucleus segmentation is a crucial and challenging issue in automatic pathological
diagnosis due to uneven staining, blurry boundaries, and adherent or overlapping nuclei in …
diagnosis due to uneven staining, blurry boundaries, and adherent or overlapping nuclei in …
Accurate cervical cell segmentation from overlapping clumps in pap smear images
Accurate segmentation of cervical cells in Pap smear images is an important step in
automatic pre-cancer identification in the uterine cervix. One of the major segmentation …
automatic pre-cancer identification in the uterine cervix. One of the major segmentation …
Accurate segmentation of overlapping cells in cervical cytology with deep convolutional neural networks
Accurate cell segmentation is essential for computer-aided diagnosis of cervical
precancerous lesions in cytology images. Automated segmentation poses a great challenge …
precancerous lesions in cytology images. Automated segmentation poses a great challenge …