19 papers · ranked by Valyu relevance
Jun Ma, Yuting He, Feifei Li, Lin Han + 2 more
Medical image segmentation is a critical component in clinical practice, facilitating accurate diagnosis, treatment planning, and disease monitoring. However, existing methods, often tailored to specific modalities or disease types, lack generalizability across the diverse spectrum of medical image segmentation tasks.…
Pengzhan Huang, Shu Hu, Bo Peng, Jiashu Zhang + 3 more
— MedSAM, a medical foundation model derived from the SAM architecture, has demonstrated notable success across diverse medical domains. However, its clinical application faces two major challenges: the dependency on labor-intensive manual prompt generation, which imposes a significant burden on clinicians, and the…
Qing Xu, Jiaxuan Li, Xiangjian He, Ziyu Liu + 9 more
— The universality of deep neural networks across different modalities and their generalization capabilities to unseen domains play an essential role in medical image segmentation. The recent Segment Anything Model (SAM) has demonstrated its potential in both settings. However, the huge computational costs, demand for…
Anglin Liu, Rundong Xue, Xu R. Cao, Yifan Shen + 4 more
Anglin Liu 1 \*, Rundong Xue 2 , ∗ , Xu R. Cao 3 ,† , Yifan Shen 3 , Yi Lu 1 , Xiang Li 3 , Qianqian Chen 4 , Jintai Chen 1 ,5,† 1 The Hong Kong University of Science and Technology (Guangzhou) 2 Xi'an Jiaotong University 3 University of Illinois Urbana-Champaign 4 Southeast University 5 The Hong Kong University of…
Jun Ma, Zongxin Yang, Sumin Kim, Bihui Chen + 5 more
'Adibvafa Fallahpour' 'Reza Asakereh' 'Hongwei Lyu' 'Bo Wang'] Medical image and video segmentation is a critical task for precision medicine, which has witnessed considerable progress in developing task or modality-specific and generalist models for 2D images. However, there have been limited studies on building…
Rawan AlSaad, Shima Albasha, Rajat Thomas
Background Endometriosis is a common gynecologic condition in which pelvic MRI plays an important role in diagnosis and preoperative assessment. AI-enabled automated uterus segmentation on pelvic MRI could support endometriosis care by enabling standardized volumetric measurements and quantitative imaging analyses.…
Mikhail Kulyabin, Aleksei Zhdanov, Andrey Pershin, Gleb Sokolov + 6 more
Optical coherence tomography (OCT) is a non-invasive imaging technique widely used in ophthalmology for visualizing retinal layers, aiding in the early detection and monitoring of retinal diseases. OCT is useful for detecting diseases such as age-related macular degeneration (AMD) and diabetic macular edema (DME)…
Eric Nguyen, Hengjie Liu, Dan Ruan
Large foundation models, such as the Segment Anything Model (SAM), have shown remarkable performance in image segmentation tasks. However, the optimal approach to achieve true utility of these models for domain-specific applications, such as medical image segmentation, remains an open question. Recent studies have…
Han Zhong, Jiatian Zhang, Lingxiao Zhao, Mrinal Mandal
Accurate segmentation of brain vessels is critical for diagnosing cerebral stroke, yet existing AI-based methods struggle with challenges such as small vessel segmentation and class imbalance. To address this, our study proposes a novel 2D segmentation method based on the nnUNet framework, enhanced with MedSAM/MedSAM2…
Wei Fan, Ansheng Li, Mingze Xu, Wei Sun + 1 more
Breast cancer is one of the most common and deadly diseases that threaten women’s health worldwide, and early and accurate breast nodule segmentation is of great significance for the early detection, diagnosis and treatment of breast cancer. However, due to the limitation of medical annotated data, the training…
Zhiling Yan, Weixiang Sun, Rong Zhou, Zhengqing Yuan + 7 more
'Yiwei Li' 'Tianming Liu' 'Quanzheng Li' 'Xiang Li' 'Lifang He' 'Lichao Sun'] Medical image segmentation and video object segmentation are essential for diagnosing and analyzing diseases by identifying and measuring biological structures. Recent advances in natural domain have been driven by foundation models like the…
E. Toulkeridou, A. Panayides
Accurate trachea segmentation from computed tomography (CT) is a prerequisite for image-guided airway assessment, toward precision tracheostomy planning and safe endotracheal tube placement. Trachea-specific delineation remains challenging due to elongated geometry, small cross-sectional area, partial-volume effects…
Christian Chang, Hudson Law, Connor Poon, Sydney Yen + 5 more
'Armin Jamshidi' 'Vadim Malis' 'Dosik Hwang' 'Won C. Bae'] Lumbar spine Magnetic Resonance Imaging (MRI) is commonly used for intervertebral disc (IVD) and vertebral body (VB) evaluation during low back pain. Segmentation of these tissues can provide useful quantitative information such as shape and volume. The…
Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng + 10 more
'Tianbin Li' 'Jianping Chen' 'Yanzhou Su' 'Ziyan Huang' 'Yiqing Shen' 'Bin Fu' 'Shaoting Zhang' 'Junjun He' 'Yuhui Qiao'] Haoyu Wang 1 , 2 , Sizheng Guo 1 , Jin Ye 1 , Zhongying Deng 1 , Junlong Cheng 1 , Tianbin Li 1 , Jianpin Chen 1 , Yanzhou Su 1 , Ziyan Huang 1 , 2 , Yiqing Shen 1 , Bin Fu 3 , Shaoting Zhang 1 …
Yan, Zhonghao, Yin, Zijin + 8 more
The Segment Anything Model (SAM) has demonstrated strong and versatile segmentation capabilities, along with intuitive prompt-based interactions. However, customizing SAM for medical image segmentation requires massive amounts of pixel-level annotations and precise point- or box-based prompt designs. To address these…
Pedro de Andrade Horn, Tomayo I. Berida, Lauren C. Parr, Jacob L. Bouchard + 4 more
Chemical Neuroscience: Medetomidine Authors: ['Pedro de Andrade Horn' 'Tomayo I. Berida' 'Lauren C. Parr' 'Jacob L. Bouchard' 'Navoda Jayakodiarachchi' 'Daniel C. Schultz' 'Craig W. Lindsley' 'Morgan L. Crowley'] Medetomidine is an FDA-approved α2-adrenoreceptor (α2-AR) agonist used as a veterinary sedative due to its…
Authors not listed
S-Adenosyl methionine (SAM) is a biomolecule containing an adenosyl cation bonded to the sulfur atom of methionine (Met). SAM is a primary methyl donor and the precursor of the Gluthatione (GSH). Due to the role played by SAM in the proper functioning of cellular metabolism, it is an interesting biomolecule to be…
John P. Efromson, Shuai Li, Michael D. Lynch
Autosampling from bioreactors reduces error, increases reproducibility and offers improved aseptic handling when compared to manual sampling. Additionally, autosampling greatly decreases the hands-on time required for a bioreactor experiment and enables sampling 24 hrs a day. We have designed, built and tested a low…
Authors not listed
Accurate and efficient calculation of alchemical free energies is a critical challenge in computational chemistry, frequently hindered by the inherent limitations of conventional Thermodynamic Integration (TI) methods. These limitations include poor phasespace overlap between discrete alchemical states, inefficient…