Radiomics: a new application from established techniques

V Parekh, MA Jacobs - Expert review of precision medicine and …, 2016 - Taylor & Francis
The increasing use of biomarkers in cancer have led to the concept of personalized
medicine for patients. Personalized medicine provides better diagnosis and treatment …

A systematic review of machine learning based thyroid tumor characterisation using ultrasonographic images

N Yadav, R Dass, J Virmani - Journal of Ultrasound, 2024 - Springer
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 …

Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI

CA Hamm, CJ Wang, LJ Savic, M Ferrante… - European …, 2019 - Springer
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 …

Detection of myocardial infarction in 12 lead ECG using support vector machine

AK Dohare, V Kumar, R Kumar - Applied Soft Computing, 2018 - Elsevier
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 …

Deep learning-based CAD system design for thyroid tumor characterization using ultrasound images

N Yadav, R Dass, J Virmani - Multimedia Tools and Applications, 2024 - Springer
Abstract Computer-Aided Diagnosis (CAD) system is preferred for automatic thyroid tumor
ultrasound image characterization instead of manual assessment by the experts …

Classification of acute lymphoblastic leukaemia using hybrid hierarchical classifiers

J Rawat, A Singh, HS Bhadauria, J Virmani… - Multimedia Tools and …, 2017 - Springer
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 …

Computer aided diagnostic system for detection of leukemia using microscopic images

J Rawat, A Singh, HS Bhadauria, J Virmani - Procedia Computer Science, 2015 - Elsevier
In present scenario, hematological disorders of leukocyte (WBC) are very frequent in
medical practices. This work proposes a novel technique to differentiate ALL (acute …

Risk assessment of computer-aided diagnostic software for hepatic resection

Y Akhtar, SP Dakua, A Abdalla… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
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 …

A novel liver image classification method using perceptual hash-based convolutional neural network

F Özyurt, T Tuncer, E Avci, M Koç… - Arabian Journal for …, 2019 - Springer
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 …

PCA-PNN and PCA-SVM based CAD systems for breast density classification

Kriti, J Virmani, N Dey, V Kumar - … of intelligent optimization in biology and …, 2015 - Springer
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 …