#2Bikesh Kumar Singh(NITRR: National Institute of Technology, Raipur)H-Index: 15
BACKGROUND AND OBJECTIVE Screening children for communicational disorders such as specific language impairment (SLI) is always challenging as it requires clinicians to follow a series of steps to evaluate the subjects. Artificial intelligence and computer-aided diagnosis have supported health professionals in making swift and error-free decisions about the neurodevelopmental state of children vis-a-vis language comprehension and production. Past studies have claimed that typical developing (TD) ...
#1Yuxuan Li(OSU: Oklahoma State University–Stillwater)
#2Joshua VanOsdol(OSU: Oklahoma State University–Stillwater)H-Index: 4
Last. Chenang Liu(OSU: Oklahoma State University–Stillwater)
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Abstract null null The objective of this study is to develop an effective data-driven methodology for the online monitoring of cancer drug delivery guided by the ultrasonic images. To achieve this goal, effective image quantification and accurate feature extraction play a critical role on image-guided drug delivery (IGDD) monitoring. However, the existing image-guided approaches in such area are mainly focused on the analysis for individual images rather than the image series. In fact, the tempo...
BACKGROUND Foot collapse is primarily diagnosed and monitored using lateral weight-bearing foot x-ray images. There are several well-validated measurements which aid assessment. However, these are subject to inter- and intra-user variability. OBJECTIVE To develop and validate a software system for the fully automatic assessment of radiographic changes associated with foot collapse; automatically generating measurements for calcaneal tilt, cuboid height and Meary's angle. METHODS This retrospecti...
Abstract null null Background and objective null Diabetes is a disease of impaired blood glucose regulation due to the absence or insufficient secretion of insulin hormone or insulin resistance induced in the human body. In literature, the impact of exercise is considered in few models based on the minimal representation of glucose dynamics along with the assumption that no endogenous insulin is produced in the body. Hence these models are not capable of describing diabetic behavior which is ind...
#1Deng-ao Li(TUT: Taiyuan University of Technology)H-Index: 3
#2Xiaohui Chu(TUT: Taiyuan University of Technology)
Last. Xiaotang Yang(Shanxi Medical University)H-Index: 3
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Abstract null null Background and objective null Segmentation of rectal cancerous regions using 2D Magnetic Resonance Imaging (MRI) images is a critical step in radiation therapy. The shape of rectal cancer has significant variations and the shape of some surrounding organs is similar to that of rectal cancer; these conditions significantly affect the segmentation accuracy of rectal cancer and lead to incorrect segmentation. Therefore, automatic segmentation of rectal cancer is urgently needed, ...
Abstract null null Objective null Observation and statistical analysis was used to evaluate the ability of lumbar disc magnetic resonance imaging (MRI) to obtain the smallest size of Al2O3 spots (calcified foci) and lumbar disc fiber signals. null null null Methods null First, we perform image acquisition of the MRI, perform the statistical analysis using five different sizes of Al2O3 spots and lumbar disc fibers on the imaging plate (IP), use a molybdenum target MRI machine 26 kV, adjust the mi...
#1Devidas T. Kushnure(Shri Guru Gobind Singhji Institute of Engineering and Technology)H-Index: 1
#2Sanjay N. Talbar(Shri Guru Gobind Singhji Institute of Engineering and Technology)H-Index: 16
Abstract null null Automatic liver and tumor segmentation are essential steps to take decisive action in hepatic disease detection, deciding therapeutic planning, and post-treatment assessment. The computed tomography (CT) scan has become the choice of medical experts to diagnose hepatic anomalies. However, due to advancements in CT image acquisition protocol, CT scan data is growing and manual delineation of the liver and tumor from the CT volume becomes cumbersome and tedious for medical exper...
#1Ye Huang(Beijing University of Chinese Medicine)H-Index: 1
#2Yetong Tan(Beijing University of Chinese Medicine)H-Index: 3
Last. Ding T(Beijing University of Chinese Medicine)
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Abstract null null Purpose null : High tibial osteotomy (HTO) is an effective surgical treatment for varus knee osteoarthritis. However, obese patients require reinforced internal fixation materials to prevent internal fixation fractures and hardware failure after osteotomy. Therefore, the purpose of our study is to evaluate the clinical efficacy of distal tibial tuberosity high tibial osteotomy (DTT-HTO) using the new patented π-shaped plate in obese patients with varus knee osteoarthritis. nul...
#1Hongling Zhu(HUST: Huazhong University of Science and Technology)H-Index: 2
#2Jinsheng Lai(HUST: Huazhong University of Science and Technology)
Last. Xiaoxiang Yan(SJTU: Shanghai Jiao Tong University)
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Abstracts null null Background and Objective null Research on automatic auscultation diagnosis of COVID-19 has not yet been developed. We therefore aimed to engineer a deep learning approach for the automated grading diagnosis of COVID-19 by pulmonary auscultation analysis. null null null Methods null 172 confirmed cases of COVID-19 in Tongji Hospital were divided into moderate, severe and critical group. Pulmonary auscultation were recorded in 6-10 sites per patient through 3M littmann stethosc...
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