Results 31 to 40 of about 101,977 (161)

Analysis of computer-aided diagnostics in the preoperative diagnosis of ovarian cancer: a systematic review

Insights into Imaging, 2023
Key points Computer-aided diagnostics has potential to predict the nature of ovarian tumors. Literature shows heterogeneous sensitivity and specificity of machine learning on ultrasound images, CT-scan images and MRI-scan images. More prospective studies
Anna H. Koch, Lara S. Jeelof, Caroline L. P. Muntinga, T. A. Gootzen, Nienke M. A. van de Kruis, Joost Nederend, Tim Boers, Fons van der Sommen, Jurgen M. J. Piek   +8 more
doaj   +1 more source

Diagnosis of osteoporotic vertebral compression fractures and fracture level detection using multitask learning with U-Net in lumbar spine lateral radiographs

Computational and Structural Biotechnology Journal, 2023
Recent studies of automatic diagnosis of vertebral compression fractures (VCFs) using deep learning mainly focus on segmentation and vertebral level detection in lumbar spine lateral radiographs (LSLRs).
Seung Min Ryu, Soyoung Lee, Miso Jang, Jung-Min Koh, Sung Jin Bae, Seong Gyu Jegal, Keewon Shin, Namkug Kim   +7 more
doaj   +1 more source

Computer-assisted diagnosis to improve diagnostic pathology: A review

Indian Journal of Pathology and Microbiology
With an increasing demand for accuracy and efficiency in diagnostic pathology, computer-assisted diagnosis (CAD) emerges as a prominent and transformative solution.
Alessandro Caputo, Elisabetta Maffei, Nalini Gupta, Luca Cima, Francesco Merolla, Giorgio Cazzaniga, Pietro Pepe, Paolo Verze, Filippo Fraggetta   +8 more
doaj   +1 more source

Machine Learning Methods for Histopathological Image Analysis

Computational and Structural Biotechnology Journal, 2018
Abundant accumulation of digital histopathological images has led to the increased demand for their analysis, such as computer-aided diagnosis using machine learning techniques.
Daisuke Komura, Shumpei Ishikawa
doaj   +1 more source

Computer-assisted Medical Decision-making System for Diagnosis of Urticaria

MDM Policy & Practice, 2016
Background: Urticaria is a common allergic disease that affects all age groups. Allergic disorders are diagnosed at allergy testing centers using skin tests. Though skin tests are the gold standard tests for allergy diagnosis, specialists are required to
Jabez J. Christopher BE, ME, Harichandran Khanna Nehemiah BE, ME, PhD, Kannan Arputharaj ME, PhD, George L. Moses MSc, PhD   +3 more
doaj   +1 more source

Automated Detection Algorithm of Breast Masses in Three-Dimensional Ultrasound Images [PDF]

Healthcare Informatics Research, 2016
ObjectivesWe propose an automatic breast mass detection algorithm in three-dimensional (3D) ultrasound (US) images using the Hough transform technique.MethodsOne hundred twenty-five cropped images containing 68 benign and 60 malignant masses are acquired
Ji-Wook Jeong, Donghoon Yu, Sooyeul Lee, Jung Min Chang   +3 more
doaj   +1 more source

Estimation and Evaluation of New Features from Phonocardiogram for Detecting Cardiovascular Abnormalities

مجله دانشکده پزشکی اصفهان, 2019
Background: In the world, cardiovascular diseases are the major cause of death, as 31% of global mortality is from them. Due to problems such as the lack of technologies such as echocardiography, and limited access to cardiologists in deprived areas ...
Mahdi Nourian-Zavareh, Saeed Kermani, Mohammad Hashemi-Jazi, Maryam Samieinasab   +3 more
doaj   +1 more source

Results of Machine Learning Applications in the Study of COVID-19 Associated Cardiopulmonary Pathology Using Computed Tomography Data

Innovative Biosystems and Bioengineering
Background. The COVID-19 pandemic, caused by SARS-CoV-2, has significantly impacted global health, emphasizing the importance of efficient diagnostic methods.
Ievgen Nastenko, Mykola Linnik, Maksym Honcharuk, Illia Davydovych, Viktoriia Lutchenko, Vitali Babenko, Liudmyla Dolinchuk   +6 more
doaj   +1 more source

Asia-Pacific consensus on the use of artificial intelligence in colorectal cancer screening and surveillance

iGIE
Background and Aims: Artificial intelligence (AI)-assisted colonoscopy has been widely investigated for colorectal adenoma and cancer detection and characterization.
Frederick H. Koh, PhD, James W. Li, MD, Sunny H. Wong, DPhil, Jonathan Lee, MD, Sneha John, FRACP, Vui Heng Chong, MD, Kai-chun Wu, MD, Rashid Lui, FRCP, Simon S.M. Ng, MD, Thomas Y.T. Lam, PhD, Louis H.S. Lau, MBChB, Govind K. Makharia, MD, Murdani Abdullah, MD, Hasan Maulahela, MD, Nozomu Kobayashi, MD, Masau Sekiguchi, MD, Jeong-Sik Byeon, MD, Hyun-soo Kim, MD, Yeong Yeh Lee, MD, Han-Mo Chiu, MD, I-Chen Wu, MD, Somchai Leelakusolvong, MD, Prateek Sharma, MD, David Lieberman, MD, Joseph J.Y. Sung, MD   +24 more
doaj   +1 more source

Role of Computer Aided Diagnosis (CAD) in Medical Imaging

Central Asian Journal of Medical Sciences, 2015
Objectives: We introduce the various methods of image analysis used for CAD. In addition, we provide a guide for the clinician through examples which use the CAD.
Seung Won Shin, Kwang Gi Kim
doaj   +1 more source