Zobrazeno 1 - 10
of 4 589
pro vyhledávání: '"TUMOR SEGMENTATION"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Glioma refers to a highly prevalent type of brain tumor that is strongly associated with a high mortality rate. During the treatment process of the disease, it is particularly important to accurately perform segmentation of the glioma from M
Externí odkaz:
https://doaj.org/article/9cce66bba0b6498fa4e8e027303b1c5d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Automated segmentation of liver tumors on CT scans is essential for aiding diagnosis and assessing treatment. Computer-aided diagnosis can reduce the costs and errors associated with manual processes and ensure the provision of accurate and
Externí odkaz:
https://doaj.org/article/efd002f377f44d37bbf4c2bc005f68b7
Autor:
Xiangyu Sun, Sirui Li, Chao Ma, Wei Fang, Xin Jing, Chao Yang, Huan Li, Xu Zhang, Chuanbin Ge, Bo Liu, Zhiqiang Li
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Comprehensive and non-invasive preoperative molecular diagnosis is important for prognostic and therapy decision-making in adult-type diffuse gliomas. We employed a deep learning method for automatic segmentation of brain gliomas directly fr
Externí odkaz:
https://doaj.org/article/8f6b337dba73473595d14e8d7fb7a160
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract This study addresses computer-aided breast cancer diagnosis through a hybrid framework for breast tumor segmentation in ultrasound images. The core of the three-stage method is based on the autoencoder convolutional neural network. In the fi
Externí odkaz:
https://doaj.org/article/20cfa34d7d034f4b9f669fe6ac3870cd
Publikováno v:
Tomography, Vol 10, Iss 10, Pp 1577-1590 (2024)
Background: Existing methods for MRI brain tumor segmentation often suffer from excessive model parameters and suboptimal performance in delineating tumor boundaries. Methods: For this issue, a lightweight MRI brain tumor segmentation method, enhance
Externí odkaz:
https://doaj.org/article/a1439acca8684f4c95afd549b07df0f3
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The main bottleneck in training a robust tumor segmentation algorithm for non-small cell lung cancer (NSCLC) on H&E is generating sufficient ground truth annotations. Various approaches for generating tumor labels to train a tumor segmentati
Externí odkaz:
https://doaj.org/article/d3c7dacee6e841c6b4657d2155e93c6c
Publikováno v:
Radioengineering, Vol 33, Iss 3, Pp 387-396 (2024)
Brain tumors refer to abnormal cell proliferation formed in brain tissue, which can cause neurological dysfunction and cognitive impairment, posing a serious threat to human health. Therefore, it becomes a very challenging work to full-automaticly se
Externí odkaz:
https://doaj.org/article/8d9353f371a84403957c4824df3fb3e7
Autor:
Niha Kamal Basha, Christo Ananth, K. Muthukumaran, Gadug Sudhamsu, Vikas Mittal, Fikreselam Gared
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract The process of brain tumour segmentation entails locating the tumour precisely in images. Magnetic Resonance Imaging (MRI) is typically used by doctors to find any brain tumours or tissue abnormalities. With the use of region-based Convoluti
Externí odkaz:
https://doaj.org/article/c562bad41cc144a0982c996f11f259f2
Publikováno v:
EJNMMI Physics, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract Purpose Effective radiation therapy requires accurate segmentation of head and neck cancer, one of the most common types of cancer. With the advancement of deep learning, people have come up with various methods that use positron emission to
Externí odkaz:
https://doaj.org/article/3c7ae6a4a9b248279f98ca3038036703
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Renal tumors are one of the common diseases of urology, and precise segmentation of these tumors plays a crucial role in aiding physicians to improve diagnostic accuracy and treatment effectiveness. Nevertheless, inherent challenges associat
Externí odkaz:
https://doaj.org/article/bf69b8e9e82f4c4cbbf038b579fbda44