Yan, Jiangpeng Chen, Shou Zhang, Yongbing Li, Xiu
Published in
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Recent works have demonstrated that deep learning (DL) based compressed sensing (CS) implementation can accelerate Magnetic Resonance (MR) Imaging by reconstructing MR images from sub-sampled k-space data. However, network architectures adopted in previous methods are all designed by handcraft. Neural Architecture Search (NAS) algorithms can automa...
Ding, Xuehai Liu, Yanting Zhao, Junjuan Wang, Ren Li, Chengfan Luo, Quanyong Shen, Chentian
Published in
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Preoperative assessment of cervical lymph nodes metastasis (CLNM) for accurate qualitative and locating diagnosis is important for choosing the best treatment option for patients with papillary thyroid cancer. Non-destructive, non-invasive ultrasound is currently the imaging method of choice for lymph node metastatic assessment. For lymph node char...
Johnston, Luke Yu, Zhangsheng
Published in
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Cancer is a major global health problem, causing millions of deaths yearly. Histopathological analysis plays a crucial role in detecting and diagnosing various types of cancer, enabling an accurate diagnosis to inform targeted treatment planning, allowing for better cancer staging, and ultimately improving prognosis. We aim to detect cancer earlier...
Liu, Yanxia Chen, Anni Li, Yuhong Lai, Haoyu Huang, Sijuan Yang, Xin
Published in
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Computerized tomography (CT) synthesis from cone-beam computerized tomography (CBCT) is a key step in adaptive radiotherapy. It uses a synthetic CT to calculate the dose to correct and adjust the radiotherapy plan in a timely manner. The cycle-consistent adversarial network (Cycle GAN) is commonly used in CT synthesis tasks but it has some defects:...
Del Amor, Rocío Silva-Rodríguez, Julio Naranjo, Valery
Published in
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Deep learning-based models applied to digital pathology require large, curated datasets with high-quality (HQ) annotations to perform correctly. In many cases, recruiting expert pathologists to annotate large databases is not feasible, and it is necessary to collect additional labeled data with varying label qualities, e.g., pathologists-in-trainin...
Al, Walid Abdullah Yun, Il Dong Chun, Eun Ju
Published in
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Left atrial appendage (LAA) occlusion (LAAO) is a minimally invasive implant-based method to prevent cardiovascular stroke in patients with non-valvular atrial fibrillation. Assessing the LAA orifice in preoperative CT angiography plays a crucial role in choosing an appropriate LAAO implant size and a proper C-arm angulation. However, accurate orif...
Rabbani, Arash Gao, Hao Lazarus, Alan Dalton, David Ge, Yuzhang Mangion, Kenneth Berry, Colin Husmeier, Dirk
Published in
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
In this investigation, an image-based method has been developed to estimate the volume of the left ventricular cavity using cardiac magnetic resonance (CMR) imaging data. Deep learning and Gaussian processes have been applied to bring the estimations closer to the cavity volumes manually extracted. CMR data from 339 patients and healthy volunteers ...
Ahmad, Adnan Parker, Drew Dheer, Suhani Samani, Zahra Riahi Verma, Ragini
Published in
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Artifacts are a common occurrence in Diffusion MRI (dMRI) scans. Identifying and removing them is essential to ensure the accuracy and viability of any post-processing carried out on these scans. This makes quality control (QC) a crucial first step prior to any analysis of dMRI data. Several QC methods for artifact detection exist, however they suf...
Lu, Xu Zhang, Shulian Liu, Zhiyong Liu, Shaopeng Huang, Jun Kong, Guoquan Li, Mingzhu Liang, Yinying Cui, Yunneng Yang, Chuan
...
Published in
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
The Gleason scoring system is a reliable method for quantifying the aggressiveness of prostate cancer, which provides an important reference value for clinical assessment on therapeutic strategies. However, to the best of our knowledge, no study has been done on the pathological grading of prostate cancer from single ultrasound images. In this work...
Khaliliboroujeni, Sepideh He, Xiangjian Jia, Wenjing Amirgholipour, Saeed
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Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Worldwide breast cancer is one of the most frequent and mortal diseases across women. Early, accurate metastasis cancer detection is a significant factor in raising the survival rate among patients. Diverse Computer-Aided Diagnostic (CAD) systems applying medical imaging modalities, have been designed for breast cancer detection. The impact of deep...
