Efficient deep learning model for mitosis detection using breast histopathology images

M Saha, C Chakraborty, D Racoceanu - Computerized Medical Imaging …, 2018 - Elsevier
Mitosis detection is one of the critical factors of cancer prognosis, carrying significant
diagnostic information required for breast cancer grading. It provides vital clues to estimate …

Computer-assisted detection of infectious lung diseases: a review

U Bağcı, M Bray, J Caban, J Yao, DJ Mollura - … Medical Imaging and …, 2012 - Elsevier
Respiratory tract infections are a leading cause of death and disability worldwide. Although
radiology serves as a primary diagnostic method for assessing respiratory tract infections …

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

R Ludovic, R Daniel, L Nicolas, K Maria… - Journal of pathology …, 2013 - Elsevier
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 …

ViBE-Z: a framework for 3D virtual colocalization analysis in zebrafish larval brains

O Ronneberger, K Liu, M Rath, D Rueβ, T Mueller… - Nature …, 2012 - nature.com
Abstract Precise three-dimensional (3D) mapping of a large number of gene expression
patterns, neuronal types and connections to an anatomical reference helps us to understand …

Toward automatic mitotic cell detection and segmentation in multispectral histopathological images

C Lu, M Mandal - IEEE journal of biomedical and health …, 2013 - ieeexplore.ieee.org
The count of mitotic cells is a critical factor in most cancer grading systems. Extracting the
mitotic cell from the histopathological image is a very challenging task. In this paper, we …

Shroom3 is required downstream of FGF signalling to mediate proneuromast assembly in zebrafish

S Ernst, K Liu, S Agarwala, N Moratscheck… - …, 2012 - journals.biologists.com
During development, morphogenetic processes require a precise coordination of cell
differentiation, cell shape changes and, often, cell migration. Yet, how pattern information is …

Polyp Segmentation via Semantic Enhanced Perceptual Network

T Wang, X Qi, G Yang - … on Circuits and Systems for Video …, 2024 - ieeexplore.ieee.org
Accurate polyp segmentation is crucial for precise diagnosis and prevention of colorectal
cancer. However, precise polyp segmentation still faces challenges, mainly due to the …

SHOG-spherical HOG descriptors for rotation invariant 3D object detection

H Skibbe, M Reisert, H Burkhardt - Joint Pattern Recognition Symposium, 2011 - Springer
We present a method for densely computing local spherical histograms of oriented gradients
(SHOG) in volumetric images. The descriptors are based on the continuous representation …

Modeling temporal information of mitotic for mitotic event detection

W Nie, H Cheng, Y Su - IEEE Transactions on Big Data, 2017 - ieeexplore.ieee.org
Due to the enormous potential and influence that stem cells may have in regenerative
medicine, there has been a rapidly growing interest in developing tools to analyze and …

Spherical tensor algebra: a toolkit for 3D image processing

H Skibbe, M Reisert - Journal of Mathematical Imaging and Vision, 2017 - Springer
With the advent of novel 3D image acquisition techniques, their efficient and reliable
analysis becomes more and more important. In particular in 3D, the amount of data is …