Zobrazeno 1 - 10
of 537
pro vyhledávání: '"histopathology image"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The second most common type of malignant tumor worldwide is colorectal cancer. Histopathology image analysis offers crucial data for the clinical diagnosis of colorectal cancer. Currently, deep learning techniques are applied to enhance canc
Externí odkaz:
https://doaj.org/article/3f21e671331449e3b14f8ddc859274da
Publikováno v:
Human-Centric Intelligent Systems, Vol 4, Iss 3, Pp 417-436 (2024)
Abstract As the rise in cancer cases, there is an increasing demand to develop accurate and rapid diagnostic tools for early intervention. Pathologists are looking to augment manual analysis with computer-based evaluation to develop more efficient ca
Externí odkaz:
https://doaj.org/article/a38357d3ddb9431a8dd8eaa0ace7da4a
Autor:
Gang Xu, Shuhao Wang, Lingyu Zhao, Xiao Chen, Tongwei Wang, Lang Wang, Zhenwei Luo, Dahan Wang, Zewen Zhang, Aijun Liu, Wei Ba, Zhigang Song, Huaiyin Shi, Dingrong Zhong, Jianpeng Ma
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 8, Pp n/a-n/a (2024)
Histopathology image analysis plays a crucial role in cancer diagnosis. However, training a clinically applicable segmentation algorithm requires pathologists to engage in labor‐intensive labeling. In contrast, weakly supervised learning methods, w
Externí odkaz:
https://doaj.org/article/61afbc3da5814148bcb2298cac4d420b
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Background Convolutional neural network-based image processing research is actively being conducted for pathology image analysis. As a convolutional neural network model requires a large amount of image data for training, active learning (AL
Externí odkaz:
https://doaj.org/article/3d6ed6f9465845ff8438ece192681dde
Publikováno v:
IEEE Access, Vol 12, Pp 25359-25371 (2024)
Breast cancer is one of the most common malignant tumors in women, and accurate classification of benign and malignant breast cancer histopathology images is critical for diagnosis and treatment. Knowledge distillation techniques have recently receiv
Externí odkaz:
https://doaj.org/article/11fb9635bc284162ac4d9a1f36187f95
Akademický článek
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Publikováno v:
Biomedicines, Vol 12, Iss 7, p 1583 (2024)
Epidermal growth factor receptor 2 (HER2) has been widely recognized as one of the targets for bladder cancer immunotherapy. The key to implementing personalized treatment for bladder cancer patients lies in achieving rapid and accurate diagnosis. To
Externí odkaz:
https://doaj.org/article/18fc7f36c78044eeac172a27ba5adad2
Publikováno v:
In Heliyon 30 January 2024 10(2)
Publikováno v:
Heliyon, Vol 10, Iss 2, Pp e24094- (2024)
Breast cancer, a significant threat to women's health, demands early detection. Automating histopathological image analysis offers a promising solution to enhance efficiency and accuracy in diagnosis. This study addresses the challenge of breast canc
Externí odkaz:
https://doaj.org/article/8b7fcf32ed524913b1708d5af16a73ce
Publikováno v:
IEEE Access, Vol 11, Pp 87694-87708 (2023)
Breast cancer is a prevalent and life-threatening disease that requires effective detection and diagnosis methods to improve patient outcomes. Deep learning (DL) and machine learning (ML) techniques have emerged as powerful tools in breast cancer det
Externí odkaz:
https://doaj.org/article/2185c161efcb4ec4b5d5c5f204f7c22d