The computer-aided diagnosis (CAD) systems, which we referred to as classical, are based on accurate feature identification, usually performed manually or with other ML techniques that are not involved in classification. The deep learning-based CAD systems automatically perform the identification and ...
Computer-Aided Diagnosis (CAD) techniques have been developed to help detect and diagnose cognitive impairments. These techniques involve the use of computer algorithms to analyze various types of data such as brain scans, medical records, and cognitive tests. For example, MRI can be used to ident...
Computer‐assisted diagnosisacute abdomenFifteen years ago, computer-aided diagnosis of the acute abdomen promised much. Today it is little used. Studies have been flowed by poor trial design, bias, selective reporting of results, statistical naivety and spurious conclusions. The computer system lacks...
Fifteen years ago, computer-aided diagnosis of the acute abdomen promised much. Today it is little used. Studies have been flawed by poor trial design, bias, selective reporting of results, statistical naivety and spurious conclusions. The computer system lacks ‘common sense’ and is less accurat...
Computer-aided diagnosis through medical image retrieval in radiology Wilson Silva, Tiago Gonçalves, Kirsi Härmä, Erich Schröder, Verena Carola Obmann, María Cecilia Barroso, Alexander Poellinger, Mauricio Reyes & Jaime S. Cardoso Scientific Reports volume 12, Article number: ...
Computer-aided diagnosis with deep learning architecture: applications to breast lesions in US images and pulmonary nodules in CT scans. Sci Rep 2016;6:24454. doi: 10.1038/srep24454.Cheng Jiezhi, Ni Dong, Chou Yihong, et al. Computer⁃aided diagnosis with deep learning architecture: ...
Fifteen years ago, computer-aided diagnosis of the acute abdomen promised much. Today it is little used. Studies have been flowed by poor trial design, bias, selective reporting of results, statistical naivety and spurious conclusions. The computer system lacks 'common sense' and is less accurate...
Computer-aided diagnosis: A survey with bibliometric analysis RyoheiTakahashi,YuyaKajikawa, inInternational Journal of Medical Informatics, 2017 4Discussion First, as shown in the above results, currentCADresearch covers a wide range of diseases. In the US, the top 10 causes of death are heart di...
This paper performs a comprehensive study on the deep-learning-based computer-aided diagnosis (CADx) for the differential diagnosis of benign and malignant nodules/lesions by avoiding the potential errors caused by inaccurate image processing results (e.g., boundary segmentation), as well as the cl...
However, to the best of our knowledge, no research work, so far, has been devoted to developing a computer-aided classification methodology that automates the process of classifying NB whole-slide images in accordance with the grade of differentiation. In this study, we propose an image ...