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 …
Automated detection and classification of cervical cancer using pap smear microscopic images: a comprehensive review and future perspectives
PB Shanthi, KS Hareesha, R Kudva - Engineered Science, 2022 - espublisher.com
Computer aided categorization of smear images are considered as an open problem for a
last few decades. Cervical cancer is the main cause of mortality among women population …
last few decades. Cervical cancer is the main cause of mortality among women population …
Deep learning model for tongue cancer diagnosis using endoscopic images
In this study, we developed a deep learning model to identify patients with tongue cancer
based on a validated dataset comprising oral endoscopic images. We retrospectively …
based on a validated dataset comprising oral endoscopic images. We retrospectively …
PND-Net: plant nutrition deficiency and disease classification using graph convolutional network
Crop yield production could be enhanced for agricultural growth if various plant nutrition
deficiencies, and diseases are identified and detected at early stages. Hence, continuous …
deficiencies, and diseases are identified and detected at early stages. Hence, continuous …
Hybrid techniques for diagnosis with WSIs for early detection of cervical cancer based on fusion features
Cervical cancer is a global health problem that threatens the lives of women. Liquid-based
cytology (LBC) is one of the most used techniques for diagnosing cervical cancer; converting …
cytology (LBC) is one of the most used techniques for diagnosing cervical cancer; converting …
A robust deep learning approach for accurate segmentation of cytoplasm and nucleus in noisy pap smear images
Cervical cancer poses a significant global health burden, affecting women worldwide.
Timely and accurate detection is crucial for effective treatment and improved patient …
Timely and accurate detection is crucial for effective treatment and improved patient …
[HTML][HTML] A systematic review on deep learning based methods for cervical cell image analysis
Cervical cytology image analysis is indispensable for the detection of abnormal cervical
cells. Traditionally, manual screening is time-consuming and labor-intensive. Therefore, a lot …
cells. Traditionally, manual screening is time-consuming and labor-intensive. Therefore, a lot …
An improved ensemble deep belief model (EDBM) for pap-smear cell image classification
M Benhari, R Hossseini - Multimedia Tools and Applications, 2024 - Springer
Applications of deep learning models for medical image analysis have been concentrated in
recent years. This study presents an improved automatic Deep Learning Ensemble model to …
recent years. This study presents an improved automatic Deep Learning Ensemble model to …
Cervical cell/clumps detection in cytology images using transfer learning
C Xu, M Li, G Li, Y Zhang, C Sun, N Bai - Diagnostics, 2022 - mdpi.com
Cervical cancer is one of the most common and deadliest cancers among women and poses
a serious health risk. Automated screening and diagnosis of cervical cancer will help …
a serious health risk. Automated screening and diagnosis of cervical cancer will help …
[HTML][HTML] An Improved Fuzzy Deep Learning (IFDL) model for managing uncertainty in classification of pap-smear cell images
M Benhari, R Hossseini - Intelligent Systems with Applications, 2022 - Elsevier
Applications of deep learning models for medical image analysis have been concentrated in
the recent years. An automatic detection system to detect the class of Pap smear cell and …
the recent years. An automatic detection system to detect the class of Pap smear cell and …