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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 …
A systematic review of machine learning based thyroid tumor characterisation using ultrasonographic images
Ultrasonography is widely used to screen thyroid tumors because it is safe, easy to use, and
low-cost. However, it is simultaneously affected by speckle noise and other artifacts, so early …
low-cost. However, it is simultaneously affected by speckle noise and other artifacts, so early …
Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI
Objectives To develop and validate a proof-of-concept convolutional neural network (CNN)–
based deep learning system (DLS) that classifies common hepatic lesions on multi-phasic …
based deep learning system (DLS) that classifies common hepatic lesions on multi-phasic …
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 …
Deep learning-based CAD system design for thyroid tumor characterization using ultrasound images
Abstract Computer-Aided Diagnosis (CAD) system is preferred for automatic thyroid tumor
ultrasound image characterization instead of manual assessment by the experts …
ultrasound image characterization instead of manual assessment by the experts …
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 …
Computer aided diagnostic system for detection of leukemia using microscopic images
In present scenario, hematological disorders of leukocyte (WBC) are very frequent in
medical practices. This work proposes a novel technique to differentiate ALL (acute …
medical practices. This work proposes a novel technique to differentiate ALL (acute …
Risk assessment of computer-aided diagnostic software for hepatic resection
In this article, we study the indirect relationship between the adoption of computer-aided
detection or diagnostic (CADe or CADx) systems for hepatic resection (HR) and the patient's …
detection or diagnostic (CADe or CADx) systems for hepatic resection (HR) and the patient's …
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 …
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 …