Results 21 to 30 of about 34,558,744 (307)

Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning

IEEE Access, 2019
In this paper, a novel multilayer hidden conditional random fields (MHCRFs)-based cervical histopathology image classification (CHIC) model is proposed to classify well, moderate and poorly differentiation stages of cervical cancer using a weakly ...
Chen Li, Hao Chen, Le Zhang, Ning Xu, Dan Xue, Zhijie Hu, He Ma, Hongzan Sun   +7 more
doaj   +1 more source

Oncological image analysis [PDF]

Medical Image Analysis, 2016
Cancer is one of the world's major healthcare challenges and, as such, an important application of medical image analysis. After a brief introduction to cancer, we summarise some of the major developments in oncological image analysis over the past 20 years, but concentrating those in the authors' laboratories, and then outline opportunities and ...
J. Michael Brady, Ralph Highnam, Benjamin Irving, Julia A. Schnabel   +3 more
openaire   +5 more sources

Roto-translation covariant convolutional networks for medical image analysis [PDF]

, 2018
We propose a framework for rotation and translation covariant deep learning using SE(2) group convolutions. The group product of the special Euclidean motion group SE(2) describes how a concatenation of two roto-translations results in a net roto ...
Davatzikos, Christos, Veta, Mitko, Pluim, Josien P.W., Schnabel, Julia A., Eppenhof, Koen A.J., Fichtinger, Gabor, Duits, Remco, Frangi, Alejandro F., Alberola-López, Carlos, Bekkers, Erik J., Lafarge, Maxime W.   +10 more
core   +3 more sources

Multiplicative calculus in biomedical image analysis [PDF]

, 2011
We advocate the use of an alternative calculus in biomedical image analysis, known as multiplicative (a.k.a. non-Newtonian) calculus. It provides a natural framework in problems in which positive images or positive definite matrix fields and positivity ...
Florack, L.M.J., Assen, HC Hans van, Assen, Hans C. van, Luc Florack, Assen, van, H.C., Florack, Luc, Florack, LMJ Luc, Hans van Assen   +7 more
core   +2 more sources

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification

IEEE Access, 2020
In recent years, researches are concentrating on the effectiveness of Transfer Learning (TL) and Ensemble Learning (EL) techniques in cervical histopathology image analysis.
Dan Xue, Xiaomin Zhou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Jinghua Zhang, Hao Chen, Jinpeng Zhang, Shouliang Qi, Hongzan Sun   +9 more
doaj   +1 more source

A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential

IEEE Access, 2019
Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of environmental changes, and decomposition of waste materials. However, some of them are harmful to humans and animals such as tuberculosis bacteria and plasmodium.
Frank Kulwa, Chen Li, Xin Zhao, Bencheng Cai, Ning Xu, Shouliang Qi, Shuo Chen, Yueyang Teng   +7 more
doaj   +1 more source

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks

IEEE Access, 2020
Breast cancer is one of the most common and deadliest cancers among women. Since histopathological images contain sufficient phenotypic information, they play an indispensable role in the diagnosis and treatment of breast cancers. To improve the accuracy
Xiaomin Zhou, Chen Li, Md Mamunur Rahaman, Yudong Yao, Shiliang Ai, Changhao Sun, Qian Wang, Yong Zhang, Mo Li, Xiaoyan Li, Tao Jiang, Dan Xue, Shouliang Qi, Yueyang Teng   +13 more
doaj   +1 more source

Atmospheric Correction for High-Resolution Shape from Shading on Mars

Journal of Imaging, 2022
Digital Elevation Models (DEMs) of planet Mars are crucial for many remote sensing applications and for landing site characterization of rover missions.
Marcel Hess, Moritz Tenthoff, Kay Wohlfarth, Christian Wöhler   +3 more
doaj   +1 more source

Algorithms for Cytoplasm Segmentation of Fluorescence Labelled Cells

Analytical Cellular Pathology, 2002
Automatic cell segmentation has various applications in cytometry, and while the nucleus is often very distinct and easy to identify, the cytoplasm provides a lot more challenge.
Carolina Wählby, Joakim Lindblad, Mikael Vondrus, Ewert Bengtsson, Lennart Björkesten   +4 more
doaj   +1 more source

Application of transfer learning and ensemble learning in image-level classification for breast histopathology

Intelligent Medicine, 2023
Background: Breast cancer has the highest prevalence among all cancers in women globally. The classification of histopathological images in the diagnosis of breast cancers is an area of clinical concern.
Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek   +10 more
doaj   +1 more source