A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images
Abstract Background and Objective Early diagnosis and classification of a cancer type can
help facilitate the subsequent clinical management of the patient. Cervical cancer ranks as …
help facilitate the subsequent clinical management of the patient. Cervical cancer ranks as …
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 …
Robust whole slide image analysis for cervical cancer screening using deep learning
S Cheng, S Liu, J Yu, G Rao, Y Xiao, W Han… - Nature …, 2021 - nature.com
Computer-assisted diagnosis is key for scaling up cervical cancer screening. However,
current recognition algorithms perform poorly on whole slide image (WSI) analysis, fail to …
current recognition algorithms perform poorly on whole slide image (WSI) analysis, fail to …
A deep learning-based algorithm for 2-D cell segmentation in microscopy images
Y Al-Kofahi, A Zaltsman, R Graves, W Marshall… - BMC …, 2018 - Springer
Background Automatic and reliable characterization of cells in cell cultures is key to several
applications such as cancer research and drug discovery. Given the recent advances in light …
applications such as cancer research and drug discovery. Given the recent advances in light …
[HTML][HTML] Deep learning intervention for health care challenges: some biomedical domain considerations
The use of deep learning (DL) for the analysis and diagnosis of biomedical and health care
problems has received unprecedented attention in the last decade. The technique has …
problems has received unprecedented attention in the last decade. The technique has …
A survey for cervical cytopathology image analysis using deep learning
Cervical cancer is one of the most common and deadliest cancers among women. Despite
that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test …
that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test …
A deep convolutional neural network for bleeding detection in wireless capsule endoscopy images
Wireless Capsule Endoscopy (WCE) is a standard non-invasive modality for small bowel
examination. Recently, the development of computer-aided diagnosis (CAD) systems for …
examination. Recently, the development of computer-aided diagnosis (CAD) systems for …
A survey of deep learning for scientific discovery
M Raghu, E Schmidt - arXiv preprint arXiv:2003.11755, 2020 - arxiv.org
Over the past few years, we have seen fundamental breakthroughs in core problems in
machine learning, largely driven by advances in deep neural networks. At the same time, the …
machine learning, largely driven by advances in deep neural networks. At the same time, the …
A review on traditional machine learning and deep learning models for WBCs classification in blood smear images
In computer vision, traditional machine learning (TML) and deep learning (DL) methods
have significantly contributed to the advancements of medical image analysis (MIA) by …
have significantly contributed to the advancements of medical image analysis (MIA) by …
A review on recent developments in cancer detection using Machine Learning and Deep Learning models
Cancer is a fatal illness frequently caused by a variety of obsessive changes and genetic
disorders. Cancer cells knowing as abnormal cells can grow in any part of the human body …
disorders. Cancer cells knowing as abnormal cells can grow in any part of the human body …