Neurological disorders like Alzheimer’s disease have a significant impact on the lives and health of the elderly as the aging population con-tinues to grow.Doctors can achieve effective prevention and treatment of Al...Neurological disorders like Alzheimer’s disease have a significant impact on the lives and health of the elderly as the aging population con-tinues to grow.Doctors can achieve effective prevention and treatment of Alzheimer’s disease according to the morphological volume of hippocam-pus.General segmentation techniques frequently fail to produce satisfactory results due to hippocampus’s small size,complex structure,and fuzzy edges.We develop a new SC-Net model using complete brain MRI images to achieve high-precision segmentation of hippocampal structures.The proposed network improves the accuracy of hippocampal structural segmentation by retaining the original location information of the hippocampus.Extensive experimental results demonstrate that the proposed SC-Net model is signif-icantly better than other models,and reaches a Dice similarity coefficient of 0.885 on Alzheimer’s Disease Neuroimaging Initiative(ADNI)dataset.展开更多
The mixed layer depth(MLD) in the upper ocean is an important physical parameter for describing the upper ocean mixed layer.We analyzed several major factors influencing the climatological mixed layer depth(CMLD),and ...The mixed layer depth(MLD) in the upper ocean is an important physical parameter for describing the upper ocean mixed layer.We analyzed several major factors influencing the climatological mixed layer depth(CMLD),and established a numerical simulation in the South China Sea(SCS) using the Regional Ocean Model System(ROMS) with a high-resolution(1/12°×1/12°) grid nesting method and 50 vertical layers.Several ideal numerical experiments were tested by modifying the existing sea surface boundary conditions.Especially,we analyzed the sensitivity of the results simulated for the CMLD with factors of sea surface wind stress(SSWS),sea surface net heat flux(SSNHF),and the difference between evaporation and precipitation(DEP).The result shows that of the three factors that change the depth of the CMLD,SSWS is in the first place,when ignoring the impact of SSWS,CMLD will change by 26% on average,and its effect is always to deepen the CMLD;the next comes SSNHF(13%) for deepening the CMLD in October to January and shallowing the CMLD in February to September;and the DEP comes in the third(only 2%).Moreover,we analyzed the temporal and spatial characteristics of CMLD and compared the simulation result with the ARGO observational data.The results indicate that ROMS is applicable for studying CMLD in the SCS area.展开更多
文摘Neurological disorders like Alzheimer’s disease have a significant impact on the lives and health of the elderly as the aging population con-tinues to grow.Doctors can achieve effective prevention and treatment of Alzheimer’s disease according to the morphological volume of hippocam-pus.General segmentation techniques frequently fail to produce satisfactory results due to hippocampus’s small size,complex structure,and fuzzy edges.We develop a new SC-Net model using complete brain MRI images to achieve high-precision segmentation of hippocampal structures.The proposed network improves the accuracy of hippocampal structural segmentation by retaining the original location information of the hippocampus.Extensive experimental results demonstrate that the proposed SC-Net model is signif-icantly better than other models,and reaches a Dice similarity coefficient of 0.885 on Alzheimer’s Disease Neuroimaging Initiative(ADNI)dataset.
基金Supported by the Knowledge Innovation Program of the Chinese Academy of Sciences (No.KZCX1-YW-12-01)the National Natural Science Foundation of China (No.40821004),the National Natural Science Foundation of China (No.40806008)and the High Performance Computing Center,IOCAS
文摘The mixed layer depth(MLD) in the upper ocean is an important physical parameter for describing the upper ocean mixed layer.We analyzed several major factors influencing the climatological mixed layer depth(CMLD),and established a numerical simulation in the South China Sea(SCS) using the Regional Ocean Model System(ROMS) with a high-resolution(1/12°×1/12°) grid nesting method and 50 vertical layers.Several ideal numerical experiments were tested by modifying the existing sea surface boundary conditions.Especially,we analyzed the sensitivity of the results simulated for the CMLD with factors of sea surface wind stress(SSWS),sea surface net heat flux(SSNHF),and the difference between evaporation and precipitation(DEP).The result shows that of the three factors that change the depth of the CMLD,SSWS is in the first place,when ignoring the impact of SSWS,CMLD will change by 26% on average,and its effect is always to deepen the CMLD;the next comes SSNHF(13%) for deepening the CMLD in October to January and shallowing the CMLD in February to September;and the DEP comes in the third(only 2%).Moreover,we analyzed the temporal and spatial characteristics of CMLD and compared the simulation result with the ARGO observational data.The results indicate that ROMS is applicable for studying CMLD in the SCS area.
