BACKGROUND: Deep brain stimulation (DBS) is an effective surgical technique used to ameliorate the motor symptoms associated with Parkinson's disease. One of the key elements that determine successful patient outcomes is the accurate positioning of t...
OBJECTIVE: False-positive nodule reduction is a crucial part of a computer-aided detection (CADe) system, which assists radiologists in accurate lung nodule detection. In this research, a novel scheme using multi-level 3D DenseNet framework is propos...
BACKGROUND: Automatic approach to vertebrae segmentation from computed tomography (CT) images is very important in clinical applications. As the intricate appearance and variable architecture of vertebrae across the population, cognate constructions ...
PURPOSE OF REVIEW: Nowadays, kidney cancer surgery has been focusing on a patient-tailored management, expanding the indication to nephron-sparing surgery (NSS). Starting from computer tomography images, 3D models can be created, allowing a never exp...
MOTIVATION: Applying infrared microscopy in the context of tissue diagnostics heavily relies on computationally preprocessing the infrared pixel spectra that constitute an infrared microscopic image. Existing approaches involve physical models, which...
We performed this research to 1) evaluate a novel deep learning method for the diagnosis of Alzheimer's disease (AD) and 2) jointly predict the Mini Mental State Examination (MMSE) scores of South Korean patients with AD. Using resting-state function...
PURPOSE: Quantitative analysis of dopamine transporter (DAT) single-photon emission computed tomography (SPECT) images can enhance diagnostic confidence and improve their potential as a biomarker to monitor the progression of Parkinson's disease (PD)...
Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
Oct 14, 2019
OBJECTIVE: To explore the application value of Revolution CT combining three -dimensional visualization technique in the precision resection of hepatic alveolar echinococcosis.
Automatic segmentation of the hippocampus from 3D magnetic resonance imaging mostly relied on multi-atlas registration methods. In this work, we exploit recent advances in deep learning to design and implement a fully automatic segmentation method, o...
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