[图书][B] Computer Vision and Recognition Systems: Research Innovations and Trends
This cutting-edge volume, Computer Vision and Recognition Systems: Research
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …
Task-driven dictionary learning based on mutual information for medical image classification
I Diamant, E Klang, M Amitai, E Konen… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Objective: We present a novel variant of the bag-of-visual-words (BoVW) method for
automated medical image classification. Methods: Our approach improves the BoVW model …
automated medical image classification. Methods: Our approach improves the BoVW model …
Improved patch-based automated liver lesion classification by separate analysis of the interior and boundary regions
I Diamant, A Hoogi, CF Beaulieu… - IEEE journal of …, 2015 - ieeexplore.ieee.org
The bag-of-visual-words (BoVW) method with construction of a single dictionary of visual
words has been used previously for a variety of classification tasks in medical imaging …
words has been used previously for a variety of classification tasks in medical imaging …
Diagnosis of breast tissue in mammography images based local feature descriptors
Breast cancer is one of the leading causes of death by cancer among women. The high
mortality rates and the occurrence of this cancer worldwide show the importance of the …
mortality rates and the occurrence of this cancer worldwide show the importance of the …
Breast density classification to reduce false positives in CADe systems
This paper describes a novel weighted voting tree classification scheme for breast density
classification. Breast parenchymal density is an important risk factor in breast cancer …
classification. Breast parenchymal density is an important risk factor in breast cancer …
ProDis-ContSHC: learning protein dissimilarity measures and hierarchical context coherently for protein-protein comparison in protein database retrieval
Background The need to retrieve or classify protein molecules using structure or sequence-
based similarity measures underlies a wide range of biomedical applications. Traditional …
based similarity measures underlies a wide range of biomedical applications. Traditional …
Chest radiograph pathology categorization via transfer learning
The goal of this chapter is to give an overview of the research we have been conducting in
automated X-ray pathology detection for the past 10 years, from bag-of-visual-words (BoVW) …
automated X-ray pathology detection for the past 10 years, from bag-of-visual-words (BoVW) …
Medical Image Classification: A Comparison of Deep Pre-trained Neural Networks
DO Alebiosu, FP Muhammad - 2019 IEEE Student Conference …, 2019 - ieeexplore.ieee.org
Medical image classification is an important step in the effective and accurate retrieval of
medical images from large digital database where they are stored. This paper examines the …
medical images from large digital database where they are stored. This paper examines the …
A genuine GLCM-based feature extraction for breast tissue classification on mammograms
S Ergin, İI Esener, T Yüksel - International Journal of Intelligent …, 2016 - dergipark.org.tr
A breast tissue type detection system is designed, and verified on a publicly available
mammogram dataset constructed by the Mammographic Image Analysis Society (MIAS) in …
mammogram dataset constructed by the Mammographic Image Analysis Society (MIAS) in …
Image patch-based method for automated classification and detection of focal liver lesions on CT
M Safdari, R Pasari, D Rubin… - Medical Imaging 2013 …, 2013 - spiedigitallibrary.org
We developed a method for automated classification and detection of liver lesions in CT
images based on image patch representation and bag-of-visual-words (BoVW). BoVW …
images based on image patch representation and bag-of-visual-words (BoVW). BoVW …