Visual pattern mining in histology image collections using bag of features
Objective The paper addresses the problem of finding visual patterns in histology image
collections. In particular, it proposes a method for correlating basic visual patterns with high …
collections. In particular, it proposes a method for correlating basic visual patterns with high …
Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data
Computer-aided prognosis (CAP) is a new and exciting complement to the field of computer-
aided diagnosis (CAD) and involves develo** and applying computerized image analysis …
aided diagnosis (CAD) and involves develo** and applying computerized image analysis …
A survey on automated cancer diagnosis from histopathology images
Detecting cancer at an early stage is useful in better patient prognosis and treatment
planning. Even though there are several preliminary tests and non-invasive procedures that …
planning. Even though there are several preliminary tests and non-invasive procedures that …
An efficient computational framework for the analysis of whole slide images: Application to follicular lymphoma immunohistochemistry
Follicular lymphoma (FL) is one of the most common non-Hodgkin lymphoma in the United
States. Diagnosis and grading of FL is based on the review of histopathological tissue …
States. Diagnosis and grading of FL is based on the review of histopathological tissue …
Auxiliary diagnosis of breast tumor based on PNN classifier optimized by PCA and PSO algorithm
J Zhou, T Zhong, X He - 2017 9th International Conference on …, 2017 - ieeexplore.ieee.org
Facing the condition that misdiagnoses of breast tumor recognition are easily caused while
using fine needle aspiration cytology, this paper proposes a method of breast tumor auxiliary …
using fine needle aspiration cytology, this paper proposes a method of breast tumor auxiliary …
Co-occurrence features characterizing gland distribution patterns as new prognostic markers in prostate cancer whole-slide images
N Harder, M Athelogou, H Hessel… - 2016 IEEE 13th …, 2016 - ieeexplore.ieee.org
Classifying whole-slide images of prostate cancer resections to derive an accurate
prognosis for tumor progression is a highly challenging problem. We here introduce a novel …
prognosis for tumor progression is a highly challenging problem. We here introduce a novel …
Hybrid Deep Neural Networks for Mining Heterogeneous Data
X Hou - 2020 - search.proquest.com
In the era of big data, the rapidly growing flood of data represents an immense opportunity.
New computational methods are desired to fully leverage the potential that exists within …
New computational methods are desired to fully leverage the potential that exists within …
[書籍][B] Computer aided analysis of IHC and H&E stained histopathological images in lymphoma and lupus
S Samsi - 2012 - search.proquest.com
The use of computers in medical image analysis has seen tremendous growth following the
development of imaging technologies that can capture image data in-vivo as well as ex-vivo …
development of imaging technologies that can capture image data in-vivo as well as ex-vivo …
A framework for high performance image analysis pipelines
This paper describes the software framework being developed to enable the execution of
large-scale image analysis pipelines. Images are analyzed through algorithms (feature …
large-scale image analysis pipelines. Images are analyzed through algorithms (feature …
[PDF][PDF] A Framework for High Performance Image Analysis Pipelines
This paper describes the software framework being developed to enable the execution of
large-scale image analysis pipelines. Images are analyzed through algorithms (feature …
large-scale image analysis pipelines. Images are analyzed through algorithms (feature …