MRI-based brain tumor classification using ensemble of deep features and machine learning classifiers
Brain tumor classification plays an important role in clinical diagnosis and effective
treatment. In this work, we propose a method for brain tumor classification using an …
treatment. In this work, we propose a method for brain tumor classification using an …
A bottom-up review of image analysis methods for suspicious region detection in mammograms
Breast cancer is one of the most common death causes amongst women all over the world.
Early detection of breast cancer plays a critical role in increasing the survival rate. Various …
Early detection of breast cancer plays a critical role in increasing the survival rate. Various …
Brain tumor classification for MR images using transfer learning and fine-tuning
Accurate and precise brain tumor MR images classification plays important role in clinical
diagnosis and decision making for patient treatment. The key challenge in MR images …
diagnosis and decision making for patient treatment. The key challenge in MR images …
Brain tumor/mass classification framework using magnetic-resonance-imaging-based isolated and developed transfer deep-learning model
With the advancement in technology, machine learning can be applied to diagnose the
mass/tumor in the brain using magnetic resonance imaging (MRI). This work proposes a …
mass/tumor in the brain using magnetic resonance imaging (MRI). This work proposes a …
Enhanced performance of brain tumor classification via tumor region augmentation and partition
Automatic classification of tissue types of region of interest (ROI) plays an important role in
computer-aided diagnosis. In the current study, we focus on the classification of three types …
computer-aided diagnosis. In the current study, we focus on the classification of three types …
Vision 20/20: Mammographic breast density and its clinical applications
Breast density is a strong predictor of the failure of mammography screening to detect breast
cancer and is a strong predictor of the risk of developing breast cancer. The many imaging …
cancer and is a strong predictor of the risk of developing breast cancer. The many imaging …
X-ray categorization and retrieval on the organ and pathology level, using patch-based visual words
U Avni, H Greenspan, E Konen… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
In this study we present an efficient image categorization and retrieval system applied to
medical image databases, in particular large radiograph archives. The methodology is …
medical image databases, in particular large radiograph archives. The methodology is …
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 …
PCA-PNN and PCA-SVM based CAD systems for breast density classification
Early prediction of breast density is clinically significant as there is an association between
the risk of breast cancer development and breast density. In the present work, the …
the risk of breast cancer development and breast density. In the present work, the …
A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry
SD Tzikopoulos, ME Mavroforakis, HV Georgiou… - computer methods and …, 2011 - Elsevier
This paper presents a fully automated segmentation and classification scheme for
mammograms, based on breast density estimation and detection of asymmetry. First, image …
mammograms, based on breast density estimation and detection of asymmetry. First, image …