Results 21 to 30 of about 2,871,782 (268)

A Multi-Classifier System for Automatic Mitosis Detection in Breast Histopathology Images Using Deep Belief Networks [PDF]

IEEE Journal of Translational Engineering in Health and Medicine, 2017
Mitotic count is an important diagnostic factor in breast cancer grading and prognosis. Detection of mitosis in breast histopathology images is very challenging mainly due to diffused intensities along object boundary and shape variation in different ...
K. Sabeena Beevi, Madhu S. Nair, G. R. Bindu   +2 more
doaj   +2 more sources

Quadra Sense: A Fusion of Deep Learning Classifiers for Mitosis Detection in Breast Cancer Histopathology [PDF]

Diagnostics
Background/Objectives: The difficulties caused by breast cancer have been addressed in a number of ways. Since it is said to be the second most common cause of death from cancer among women, early intervention is crucial.
Afnan M. Alhassan, Nouf I. Altmami
doaj   +2 more sources

Mitosis detection in breast cancer histological images An ICPR 2012 contest [PDF]

Journal of Pathology Informatics, 2013
Introduction: In the framework of the Cognitive Microscope (MICO) project, we have set up a contest about mitosis detection in images of H and E stained slides of breast cancer for the conference ICPR 2012. Mitotic count is an important parameter for the
Ludovic Roux, Daniel Racoceanu, Nicolas Loménie, Maria Kulikova, Humayun Irshad, Jacques Klossa, Frédérique Capron, Catherine Genestie, Gilles Le Naour, Metin N Gurcan   +9 more
doaj   +2 more sources

A Novel CAD System for Mitosis detection Using Histopathology Slide Images [PDF]

Journal of Medical Signals and Sensors, 2014
Histopathology slides are one of the most applicable resources for pathology studies. As observation of these kinds of slides even by skillful pathologists is a tedious and time-consuming activity, computerizing this procedure aids the experts to have ...
Ashkan Tashk, Mohammad Sadegh Helfroush, Habibollah Danyali, Mojgan Akbarzadeh   +3 more
doaj   +2 more sources

A novel dilated contextual attention module for breast cancer mitosis cell detection

Frontiers in Physiology
Background and object: Mitotic count (MC) is a critical histological parameter for accurately assessing the degree of invasiveness in breast cancer, holding significant clinical value for cancer treatment and prognosis.
Zhiqiang Li, Xiangkui Li, Weixuan Wu, He Lyu, Xuezhi Tang, Chenchen Zhou, Fanxin Xu, Bin Luo, Yulian Jiang, Xingwen Liu, Wei Xiang   +10 more
doaj   +3 more sources

Virtual Staining for Mitosis Detection in Breast Histopathology [PDF]

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020
We propose a virtual staining methodology based on Generative Adversarial Networks to map histopathology images of breast cancer tissue from H&E stain to PHH3 and vice versa. We use the resulting synthetic images to build Convolutional Neural Networks (CNN) for automatic detection of mitotic figures, a strong prognostic biomarker used in routine ...
Caner Mercan, G. C. A. M. Mooij, David Tellez, Johannes Lotz 0002, Nick Weiss, Marcel van Gerven, Francesco Ciompi   +6 more
openaire   +5 more sources

Contextual Prior Constrained Deep Networks for Mitosis Detection With Point Annotations

IEEE Access, 2021
We study the problem of training an accurate deep learning mitosis detection model with only point annotations. To address this challenging label-efficient deep learning problem, we propose a novel contextual prior constraint mechanism and spatial area ...
Jiangxiao Han, Xinggang Wang, Wenyu Liu
doaj   +1 more source

Robust Multi-Domain Mitosis Detection

CoRR, 2021
Domain variability is a common bottle neck in developing generalisable algorithms for various medical applications. Motivated by the observation that the domain variability of the medical images is to some extent compact, we propose to learn a target representative feature space through unpaired image to image translation (CycleGAN). We comprehensively
Mustaffa Hussain, Ritesh Gangnani, Sasidhar Kadiyala   +2 more
openaire   +2 more sources

A Heteromorphous Deep CNN Framework for Medical Image Segmentation Using Local Binary Pattern

IEEE Access, 2022
Estimating mitotic nuclei in breast cancer samples can aid in determining the tumor’s aggressiveness and grading system. Because of their strong resemblance to non-mitotic nuclei and heteromorphic form, automated evaluation of mitotic nuclei is ...
Saeed Iqbal, Adnan N. Qureshi
doaj   +1 more source

SmallMitosis: Small Size Mitotic Cells Detection in Breast Histopathology Images

IEEE Access, 2021
Mitotic figure count acts as a proliferative marker to measure aggressiveness of the breast cancer tumor. In this article, we have proposed a novel framework named SmallMitosis to detect mitotic cells particularly very small size mitosis from hematoxylin
Tasleem Kausar, Mingjiang Wang, M. Adnan Ashraf, Adeeba Kausar   +3 more
doaj   +1 more source