Radiomics: a new application from established techniques
The increasing use of biomarkers in cancer have led to the concept of personalized
medicine for patients. Personalized medicine provides better diagnosis and treatment …
medicine for patients. Personalized medicine provides better diagnosis and treatment …
Quantification of heterogeneity as a biomarker in tumor imaging: a systematic review
Background Many techniques are proposed for the quantification of tumor heterogeneity as
an imaging biomarker for differentiation between tumor types, tumor grading, response …
an imaging biomarker for differentiation between tumor types, tumor grading, response …
Detection of myocardial infarction in 12 lead ECG using support vector machine
In this paper, we propose myocardial infarction (MI) detection using 12-lead ECG data and
analysis of each lead with the help of composite lead. This composite lead is used to detect …
analysis of each lead with the help of composite lead. This composite lead is used to detect …
A novel liver image classification method using perceptual hash-based convolutional neural network
Classification of liver masses plays an important role in early diagnosis of patients. This
paper proposes a method to reduce the liver computed tomography (CT) images …
paper proposes a method to reduce the liver computed tomography (CT) images …
Classification of acute lymphoblastic leukaemia using hybrid hierarchical classifiers
In current consequence of haematology, blood cancer ie acute lymphoblastic leukemia is
very frequently founded in medical practice, which is characterized by over activation and …
very frequently founded in medical practice, which is characterized by over activation and …
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 decision support system for classification of normal and medical renal disease using ultrasound images: a decision support system for medical renal diseases
Early detection of medical renal disease is important as the same may lead to chronic kidney
disease which is an irreversible stage. The present work proposes an efficient decision …
disease which is an irreversible stage. The present work proposes an efficient decision …
Three-way decision support for diagnosis on focal liver lesions
Abstract Malignant Focal Liver Lesion (FLL) is a main cause of primary liver cancer. In most
existing Computer-Aided Diagnosis (CAD) systems of FLLs, machine learning and data …
existing Computer-Aided Diagnosis (CAD) systems of FLLs, machine learning and data …
Neural network ensemble based CAD system for focal liver lesions from B-mode ultrasound
A neural network ensemble (NNE) based computer-aided diagnostic (CAD) system to assist
radiologists in differential diagnosis between focal liver lesions (FLLs), including (1) typical …
radiologists in differential diagnosis between focal liver lesions (FLLs), including (1) typical …
Effect of despeckle filtering on classification of breast tumors using ultrasound images
Ultrasound is the most widely used imaging modality for screening of breast tumors.
However, due to the presence of speckle noise in an ultrasound image, the diagnostic …
However, due to the presence of speckle noise in an ultrasound image, the diagnostic …