14 results for “Medical Diagnostic Imaging”

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Research ArticleOpen accessIn the abstractOptimization of Expert System Based on Interpolation, Forward Chaining, and Certainty Factor for Diagnosing Abdominal ColicHari Soetanto, Painem, Muhammad Kamil SuryadewiansyahAbdominal colic is a common condition that affects infants and it can be difficult to diagnose because it shares many symptoms with other conditions, such as gastric disease and appendicitis. Limitations of existing diagnostic methods include the unreliability of physical examinations and medical histories and the high cost and time-consuming nature of imaging tests. This research proposes an expert system … …Journal of Computer Science, Vol. 20, Issue 2 · 30 Dec 2023 · 5,770 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMOBILE COMMUNICATIONS FOR USING IN TELEMEDICINEMarjan Ghazi Saeedi, Mashaallah Torabi, Sakineh Hamidi, Hassan RanjiTelemedicine the use of telecommunication and information technologies in order to provide clinical health care at a distance helps eliminate distance barriers and can improve access to medical services that would often not be consistently available in distant rural communities. It is also used to save lives in critical care and emergency situations. Although there were distant precursors to telemedicine, … …Current Research in Medicine, Vol. 5, Issue 1 · 12 Feb 2014 · 9,985 accessesView PDF Cite

Research ArticleOpen accessIn the abstractWavelet Transform Based Automatic Lesion Detection in Cervix Images Using Active ContourP. S. Rama Praba, H. RanganathanColposcopy is a medical diagnostic procedure to examine an illuminated, magnified view of the cervix by a colposcope. Most cases of cervical cancer can be prevented through screening programs aimed at detecting precancerous lesions. Colposcopy cervical images are acquired in raw form which contains major cervix lesions, regions outside the cervix and parts of the imaging devices such as speculum. … …Journal of Computer Science, Vol. 9, Issue 1 · 31 Jan 2013 · 7,783 accessesView PDF Cite

Review ArticleOpen accessAll words, across the recordMachine Learning Advancements for Lung Cancer Detection: An In-Depth Review and Future ProspectsAanchal Vij, Kuldeep Singh Kaswan, Anand NayyarLung cancer is a major cause of cancer-related mortality globally, underscoring the necessity for efficient diagnostic instruments. The review paper summarizes the role of ML and DL in detection, staging, and prognostication of lung cancer. We evaluate the relative efficacy of several models, such as CNNs, SVMs, and ensemble approaches, by analyzing publically accessible imaging and molecular information. We emphasize … …Journal of Computer Science, Vol. 22, Issue 1 · 1 Mar 2026 · 1,794 accessesView PDF Cite