Seong Ki Mun

TL;DR: A double-matching method and an artificial visual neural network technique for lung nodule detection that modeled radiologists' reading procedures in order to instruct the artificial neural network to recognize the image patterns predefined and those of interest to experts in radiology.

TL;DR: Radiologists' reading procedure was modelled in order to instruct the artificial neural network to recognize the predefined image patterns and those of interest to experts and an unconventional method of using rotation and shift invariance is proposed to enhance the neural net performance.

TL;DR: It is suggested that ultrasonic image texture analysis is a simple way to markedly reduce the number of benign lesion biopsies without missing additional cancers.

TL;DR: Surgicale report the first clinical nuclear magnetic resonance (NMR) images of cerebral sodium distribution in normal volunteers and in patients with a variety of pathological lesions, indicating that sodium imaging may prove to be a more sensitive menas for early detection of some brain disorders than other imaging methods.

TL;DR: In this article, the patient interacts with a clinical management system via a series of initial GUI screens that replicate the experience of actually visiting the clinic, and additional screens allow the patient to submit clinical information, to communicate with that patient's healthcare practitioner and other healthcare practitioners, to access management information that aids the patient in managing a patient's chronic illness, and to access educational information regarding that chronic illness.