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Clinical applications of artificial intelligence in liver imaging
This review outlines the current status and challenges of the clinical applications of artificial
intelligence in liver imaging using computed tomography or magnetic resonance imaging …
intelligence in liver imaging using computed tomography or magnetic resonance imaging …
[HTML][HTML] Advance brain tumor segmentation using feature fusion methods with deep U-Net model with CNN for MRI data
In modern healthcare, the precision of medical image segmentation holds immense
significance for diagnosis and treatment planning. Deep learning techniques, such as …
significance for diagnosis and treatment planning. Deep learning techniques, such as …
Rmau-net: Residual multi-scale attention u-net for liver and tumor segmentation in ct images
L Jiang, J Ou, R Liu, Y Zou, T ** review of deep learning techniques for diagnosis, drug discovery, and vaccine development in Leishmaniasis
Leishmania, a single‐cell parasite prevalent in tropical and subtropical regions worldwide,
can cause varying degrees of leishmaniasis, ranging from self‐limiting skin lesions to …
can cause varying degrees of leishmaniasis, ranging from self‐limiting skin lesions to …
Automatic liver tumor segmentation from CT images using graph convolutional network
Segmenting the liver and liver tumors in computed tomography (CT) images is an important
step toward quantifiable biomarkers for a computer-aided decision-making system and …
step toward quantifiable biomarkers for a computer-aided decision-making system and …
DRD-UNet, a UNet-like architecture for multi-class breast cancer semantic segmentation
Staining of histological slides with Hematoxylin and Eosin is widely used in clinical and
laboratory settings as these dyes reveal nuclear structures as well as cytoplasm and …
laboratory settings as these dyes reveal nuclear structures as well as cytoplasm and …
LRDNet: Lightweight LiDAR aided cascaded feature pools for free road space detection
Humans have long fantasized about self-driving vehicles for the sake of luxury, style, safety,
and ease. Free road space detection for collision avoidance and path planning is a vital part …
and ease. Free road space detection for collision avoidance and path planning is a vital part …
CotepRes-Net: An efficient U-Net based deep learning method of liver segmentation from Computed Tomography images
J Zhu, Z Liu, W Gao, Y Fu - Biomedical Signal Processing and Control, 2024 - Elsevier
Automatic liver segmentation from CT images is challenging due to the indistinct boundaries
between the liver and surrounding organs in the abdominal cavity CT. To address these …
between the liver and surrounding organs in the abdominal cavity CT. To address these …