Deep learning for computational cytology: A survey
Computational cytology is a critical, rapid-developing, yet challenging topic in medical
image computing concerned with analyzing digitized cytology images by computer-aided …
image computing concerned with analyzing digitized cytology images by computer-aided …
Cervical cytology classification using PCA and GWO enhanced deep features selection
Cervical cancer is one of the most deadly and common diseases among women worldwide.
It is completely curable if diagnosed in an early stage, but the tedious and costly detection …
It is completely curable if diagnosed in an early stage, but the tedious and costly detection …
Whole slide image quality in digital pathology: review and perspectives
R Brixtel, S Bougleux, O Lézoray, Y Caillot… - IEEE …, 2022 - ieeexplore.ieee.org
With the advent of whole slide image (WSI) scanners, pathology is undergoing a digital
revolution. Simultaneously, with the development of image analysis algorithms based on …
revolution. Simultaneously, with the development of image analysis algorithms based on …
GC-EnC: A Copula based ensemble of CNNs for malignancy identification in breast histopathology and cytology images
In the present work, we have explored the potential of Copula-based ensemble of CNNs
(Convolutional Neural Networks) over individual classifiers for malignancy identification in …
(Convolutional Neural Networks) over individual classifiers for malignancy identification in …
DPD-Net: Dual-path Proposal Discriminative Network for abnormal cell detection in cervical cytology images
Cytology inspection is a basic examination for the prevention of cervical cancer, which is still
done manually and is a labor-intensive and time-consuming process with high inter …
done manually and is a labor-intensive and time-consuming process with high inter …
Cervical cancerous cell classification: opposition-based harmony search for deep feature selection
Over 500 K (per year) cervical cancer cases are reported with a high mortality rate (6–9%).
Automatically detecting cervical cancer using the Computer-Aided Diagnosis (CAD) tool at …
Automatically detecting cervical cancer using the Computer-Aided Diagnosis (CAD) tool at …
Exploring contextual relationships for cervical abnormal cell detection
Cervical abnormal cell detection is a challenging task as the morphological discrepancies
between abnormal and normal cells are usually subtle. To determine whether a cervical cell …
between abnormal and normal cells are usually subtle. To determine whether a cervical cell …
Overlapping cytoplasms segmentation via constrained multi-shape evolution for cervical cancer screening
Segmenting overlapping cytoplasms in cervical smear images is a clinically essential task
for quantitatively measuring cell-level features to screen cervical cancer This task, however …
for quantitatively measuring cell-level features to screen cervical cancer This task, however …
Ensemble framework for unsupervised cervical cell segmentation
A Sen, S Mitra, S Chakraborty, D Mondal… - 2022 IEEE 35th …, 2022 - ieeexplore.ieee.org
In medical image segmentation, preparing ground truths (or masks) is not trivial as it
requires expert clinicians to manually label regions-of-interest. Cervical cytology image …
requires expert clinicians to manually label regions-of-interest. Cervical cytology image …
A Nasal Cytology Dataset for Object Detection and Deep Learning
M Camporeale, G Dimauro, M Gelardi… - arXiv preprint arXiv …, 2024 - arxiv.org
Nasal Cytology is a new and efficient clinical technique to diagnose rhinitis and allergies
that is not much widespread due to the time-consuming nature of cell counting; that is why AI …
that is not much widespread due to the time-consuming nature of cell counting; that is why AI …