A survey on artificial intelligence techniques for chronic diseases: open issues and challenges
Artificial Intelligence (AI) has given significant solutions to the healthcare domain for
analyzing various chronic diseases. With the advent of high-end systems, ie, Graphics …
analyzing various chronic diseases. With the advent of high-end systems, ie, Graphics …
[HTML][HTML] Medical image classifications for 6G IoT-enabled smart health systems
As day-to-day-generated data become massive in the 6G-enabled Internet of medical things
(IoMT), the process of medical diagnosis becomes critical in the healthcare system. This …
(IoMT), the process of medical diagnosis becomes critical in the healthcare system. This …
[HTML][HTML] Multiclass Segmentation of Concrete Surface Damages Using U-Net and DeepLabV3+
Monitoring damage in concrete structures is crucial for maintaining the health of structural
systems. The implementation of computer vision has been the key for providing accurate …
systems. The implementation of computer vision has been the key for providing accurate …
Cerebrovascular segmentation from TOF-MRA based on multiple-U-net with focal loss function
Abstract Background and Objective Accurate cerebrovascular segmentation plays an
important role in the diagnosis of cerebrovascular diseases. Considering the complexity and …
important role in the diagnosis of cerebrovascular diseases. Considering the complexity and …
A new method proposed to Melanoma-skin cancer lesion detection and segmentation based on hybrid convolutional neural network
The number of deaths due to melanoma skin cancer has rapidly increased in recent years.
The timely diagnosis of the lesions of melanoma skin cancer can potentially increase the …
The timely diagnosis of the lesions of melanoma skin cancer can potentially increase the …
[HTML][HTML] Transformer guided self-adaptive network for multi-scale skin lesion image segmentation
C Xin, Z Liu, Y Ma, D Wang, J Zhang, L Li… - Computers in Biology …, 2024 - Elsevier
Background In recent years, skin lesion has become a major public health concern, and the
diagnosis and management of skin lesions depend heavily on the correct segmentation of …
diagnosis and management of skin lesions depend heavily on the correct segmentation of …
[HTML][HTML] Advantages of using transfer learning technology with a quantative measurement
The number of people living in cities is continuously growing, and the buildings in
topographic maps are in need of frequent updates, which are costly to perform manually …
topographic maps are in need of frequent updates, which are costly to perform manually …
Convolutional neural networks-based method for skin hydration measurements in high resolution MRI
Abstract High-resolution Magnetic Resonance Imaging (MRI) allows the visualization of the
anatomy of different skin layers and provides a wide range of physical and biochemical …
anatomy of different skin layers and provides a wide range of physical and biochemical …
Segmentation of dermoscopy images based on deformable 3D convolution and ResU-NeXt++
C Zhao, R Shuai, L Ma, W Liu, M Wu - Medical & Biological Engineering & …, 2021 - Springer
Melanoma is one of the most dangerous skin cancers. The current melanoma segmentation
is mainly based on FCNs (fully connected networks) and U-Net. Nevertheless, these two …
is mainly based on FCNs (fully connected networks) and U-Net. Nevertheless, these two …
[HTML][HTML] An extensive investigation into the use of machine learning tools and deep neural networks for the recognition of skin cancer: challenges, future directions …
SI Hussain, E Toscano - Symmetry, 2024 - mdpi.com
Skin cancer poses a serious risk to one's health and can only be effectively treated with early
detection. Early identification is critical since skin cancer has a higher fatality rate, and it …
detection. Early identification is critical since skin cancer has a higher fatality rate, and it …