Accuracy of Computer-Aided Diagnosis of Melanoma: A Meta-analysis.
Sign Up to like & getrecommendations! Published in 2019 at "JAMA dermatology"
DOI: 10.1001/jamadermatol.2019.1375
Abstract: Importance The recent advances in the field of machine learning have raised expectations that computer-aided diagnosis will become the standard for the diagnosis of melanoma. Objective To critically review the current literature and compare the… read more here.
Keywords: melanoma; diagnosis; accuracy; aided diagnosis ... See more keywords
Computer‐aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.26047
Abstract: Deep learning is the most promising methodology for automatic computer‐aided diagnosis of prostate cancer (PCa) with multiparametric MRI (mp‐MRI). read more here.
Keywords: prostate cancer; diagnosis prostate; aided diagnosis; multiparametric mri ... See more keywords
Performance of Artificial Intelligence‐Aided Diagnosis System for Clinically Significant Prostate Cancer with MRI: A Diagnostic Comparison Study
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.28427
Abstract: The high level of expertise required for accurate interpretation of prostate MRI. read more here.
Keywords: prostate; aided diagnosis; artificial intelligence; diagnosis system ... See more keywords
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16188
Abstract: Rapid advances in artificial intelligence (AI) and machine learning, and specifically in deep learning (DL) techniques, have enabled broad application of these methods in health care. The promise of the DL approach has spurred further… read more here.
Keywords: cad; machine; aided diagnosis; machine learning ... See more keywords
Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study
Sign Up to like & getrecommendations! Published in 2018 at "European Radiology"
DOI: 10.1007/s00330-018-5374-6
Abstract: ObjectivesTo evaluate if computer-aided diagnosis (CAD) prior to prostate multi-parametric MRI (mpMRI) can improve sensitivity and agreement between radiologists.MethodsNine radiologists (three each high, intermediate, low experience) from eight institutions participated. A total of 163 patients… read more here.
Keywords: sensitivity; cad; computer aided; aided diagnosis ... See more keywords
Computer-aided diagnosis in rheumatic diseases using ultrasound: an overview
Sign Up to like & getrecommendations! Published in 2019 at "Clinical Rheumatology"
DOI: 10.1007/s10067-019-04791-z
Abstract: Clinical evaluation of rheumatic and musculoskeletal diseases through images is a challenge for the beginner rheumatologist since image diagnosis is an expert task with a long learning curve. The aim of this work was to… read more here.
Keywords: diagnosis rheumatic; diagnosis; rheumatic diseases; aided diagnosis ... See more keywords
Computer-Aided Diagnosis for Determining Sagittal Spinal Curvatures Using Deep Learning and Radiography
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-022-00592-0
Abstract: Analyzing spinal curvatures manually is time-consuming and tedious for clinicians, and intra-observer and inter-observer variability can affect manual measurements. In this study, we developed and evaluated the performance of an automated deep learning–based computer-aided diagnosis… read more here.
Keywords: sagittal spinal; deep learning; computer aided; aided diagnosis ... See more keywords
Framework of Computer Aided Diagnosis Systems for Cancer Classification Based on Medical Images
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Medical Systems"
DOI: 10.1007/s10916-018-1010-x
Abstract: Early detection of cancer can increase patients’ survivability and treatment options. Medical images such as Mammogram, Ultrasound, Magnetic Resonance Imaging, and microscopic images are the common method for cancer diagnosis. Recently, computer-aided diagnosis (CAD) systems… read more here.
Keywords: systems cancer; medical images; diagnosis; aided diagnosis ... See more keywords
Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography.
Sign Up to like & getrecommendations! Published in 2019 at "Academic radiology"
DOI: 10.1016/j.acra.2018.06.019
Abstract: RATIONALE AND OBJECTIVES With the growing adoption of digital breast tomosynthesis (DBT) in breast cancer screening, we compare the performance of deep learning computer-aided diagnosis on DBT images to that of conventional full-field digital mammography… read more here.
Keywords: breast; computer aided; aided diagnosis; dbt ... See more keywords
A novel computer-aided diagnosis system for breast MRI based on feature selection and ensemble learning
Sign Up to like & getrecommendations! Published in 2017 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2017.03.002
Abstract: Breast cancer is a common cancer among women. With the development of modern medical science and information technology, medical imaging techniques have an increasingly important role in the early detection and diagnosis of breast cancer.… read more here.
Keywords: feature selection; feature; diagnosis; aided diagnosis ... See more keywords
A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning
Sign Up to like & getrecommendations! Published in 2021 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.104806
Abstract: Lung cancer has one of the highest mortalities of all cancers. According to the National Lung Screening Trial, patients who underwent low-dose computed tomography (CT) scanning once a year for 3 years showed a 20%… read more here.
Keywords: aided diagnosis; computer aided; deep learning; lung ... See more keywords