Automated Quantification and Feature Extraction of Nuclei in Diffuse Large B-Cell Lymphoma Using Advanced Imaging Techniques [0.03%]
利用先进成像技术自动量化和提取弥漫性大B细胞淋巴瘤中细胞核的特征
Chee Chin Lim,Gei Ki Tang,Faezahtul Arbaeyah Hussain et al.
Chee Chin Lim et al.
Diffuse Large B-Cell Lymphoma is a subtype of non-Hodgkin lymphoma that occurs worldwide; around 80 thousand new cases were recorded in 2022. The accurate diagnosis and subtyping of non-Hodgkin lymphoma pose significant challenges, necessit...
Non-collagenous protein analog-induced biomimetic mineralization strategy to restore the dentin interface [0.03%]
类非胶原蛋白诱导的仿生矿化策略修复牙本质界面损伤
Ruhua Chen,Yimeng Xie,Liang Ma et al.
Ruhua Chen et al.
Dentin biomineralization is a gene-regulated, cytokine-mediated, programmed process by mineralized cells to form highly ordered hydroxyapatite (HAP) crystals encapsulating dentin matrix, ultimately creating a stable dentin interface. Repair...
Relevancy Aware Cascaded Generative Adversarial Network for LSO-transmission Image Denoising in CT-less PET [0.03%]
无CT图像PET低剂量重建的相干性感知级连生成对抗网络方法研究
Chetana Krishnan,Mohammadreza Teimoorisichani
Chetana Krishnan
Achieving high-quality PET imaging while minimizing scan time and patient radiation dose presents significant challenges, particularly in the absence of CT-based attenuation maps. Joint reconstruction algorithms, such as MLAA and MLACF, par...
A 3D multi-task network for the automatic segmentation of CT images featuring hip osteoarthritis [0.03%]
一种用于自动分割股骨头髋关节炎CT图像的三维网络模型
Hongjie Wang,Xiaogang Zhang,Shihong Li et al.
Hongjie Wang et al.
Total hip arthroplasty (THA) is the standard surgical treatment for end-stage hip osteoarthritis, with its success dependent on precise preoperative planning, which, in turn, relies on accurate three-dimensional segmentation and reconstruct...
Machine learning based classification of imagined speech electroencephalogram data from the amplitude and phase spectrum of frequency domain EEG signal [0.03%]
基于幅度和相位谱的频域电生理信号脑机接口分类算法研究
Meenakshi Bisla,Radhey Shyam Anand
Meenakshi Bisla
Imagined speech classification involves decoding brain signals to recognize verbalized thoughts or intentions without actual speech production. This technology has significant implications for individuals with speech impairments, offering a...
Cerebrovascular Segmentation Network Based on Fast Fourier Convolution and Mamba [0.03%]
基于快速傅里叶卷积和墨斑的脑血管分割网络
Chaozhi Yang,Mingzhe Cao,Jinbao Zhu et al.
Chaozhi Yang et al.
Purpose: Cerebrovascular segmentation is crucial for the diagnosis and treatment of cerebrovascular diseases. However, accurately extracting cerebral vessels from Time-of-Flight Magnetic Resonance Angiography (TOF-MRA) re...
Three-Dimensional Magnetic Field Measurement of Transcranial Magnetic Stimulation Using a Printed Circuit Board-Based Miniature Orthogonal Coil Array [0.03%]
基于印刷电路板的微型正交线圈阵列经颅磁刺激三维磁场测量系统
Nianshuang Wu,Zhen Wu,Penghao Wang et al.
Nianshuang Wu et al.
Objective: Transcranial magnetic stimulation (TMS) is a promising neuromodulation therapy for treating diseases such as depression and Alzheimer's disease. However, its efficacy depends on precise magnetic field targeting...
Mammographic density assessed using deep learning in women at high risk of developing breast cancer: the effect of weight change on density [0.03%]
深度学习在评估高乳腺癌风险女性的乳房密度中的应用：体重变化对密度的影响
Steven Squires,Michelle Harvie,Anthony Howell et al.
Steven Squires et al.
High mammographic density (MD) and excess weight are both associated with increased risk of breast cancer. Classically defined percentage density measures tend to increase with reduced weight due to disproportionate loss of breast fat, howe...
Generalizable 2D Medical Image Segmentation Via Wavelet-Guided Spatial-Frequency Fusion Network [0.03%]
基于小波的时空频融合网络的通用二维医学图像分割方法
Xiang Pan,Zhihao Shi,Herong Zheng et al.
Xiang Pan et al.
Medical image segmentation faces significant challenges in cross-domain scenarios due to variations in imaging protocols and device-specific artifacts. While existing methods leverage either spatial-domain features or global frequency trans...
An Innovative Learning-Based Framework for Automated Craniotomy Planning in Glioma Resection [0.03%]
一种新颖的学习型框架用于胶质瘤切除术的颅骨切开术规划自动化
Li Zhichao,Wenqing Ren,Xin Gao et al.
Li Zhichao et al.

Glioma resection remains one of the most challenging procedures in neurosurgery due to the tumor's high malignancy and prevalence. As a critical step in surgical intervention, craniotomy requires meticulous planning to achieve maximal ...