A messy state of the union: Taming the composite state machines of TLS
B Beurdouche, K Bhargavan… - Communications of the …, 2017 - dl.acm.org
The Transport Layer Security (TLS) protocol supports various authentication modes, key
exchange methods, and protocol extensions. Confusingly, each combination may prescribe …
exchange methods, and protocol extensions. Confusingly, each combination may prescribe …
GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM
L Hong, MH Modirrousta… - CAAI Transactions …, 2023 - Wiley Online Library
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their
structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is …
structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is …
Recent advancements in fuzzy C-means based techniques for brain MRI segmentation
Background: Variations of image segmentation techniques, particularly those used for Brain
MRI segmentation, vary in complexity from basic standard Fuzzy C-means (FCM) to more …
MRI segmentation, vary in complexity from basic standard Fuzzy C-means (FCM) to more …
Predicting clinical outcomes in glioblastoma: an application of topological and functional data analysis
Glioblastoma multiforme (GBM) is an aggressive form of human brain cancer that is under
active study in the field of cancer biology. Its rapid progression and the relative time cost of …
active study in the field of cancer biology. Its rapid progression and the relative time cost of …
Fuzzy anisotropic diffusion based segmentation and texture based ensemble classification of brain tumor
Brain tumor is one of the major causes of death among other types of the cancers. Proper
and timely diagnosis can prevent the life of a person to some extent. Therefore we have …
and timely diagnosis can prevent the life of a person to some extent. Therefore we have …
[PDF][PDF] An AW-HARIS Based Automated Segmentation of Human Liver Using CT Images.
In the digestion of amino acids, carbohydrates, and lipids, as well as protein synthesis from
the consumed food, the liver has many diverse responsibilities and functions that are to be …
the consumed food, the liver has many diverse responsibilities and functions that are to be …
A GAN-based method for 3D lung tumor reconstruction boosted by a knowledge transfer approach
SR Rezaei, A Ahmadi - Multimedia Tools and Applications, 2023 - Springer
Abstract Three-dimensional (3D) image reconstruction of tumors has been one of the most
effective techniques for accurately visualizing tumor structures and treatment with high …
effective techniques for accurately visualizing tumor structures and treatment with high …
An efficient computerized decision support system for the analysis and 3D visualization of brain tumor
The quality of health services provided by medical centers varies widely, and there is often a
large gap between the optimal standard of services when judged based on the locality of …
large gap between the optimal standard of services when judged based on the locality of …
Multiclass brain Glioma tumor classification using block-based 3D Wavelet features of MR images
With the advent of more powerful computing devices, system automation plays a pivotal role.
In the medical industry, automated image classification and segmentation is an important …
In the medical industry, automated image classification and segmentation is an important …
[PDF][PDF] Deep CNN based MR image denoising for tumor segmentation using watershed transform
Abstract Magnetic Resonance Imaging (MRI) is considered one of the most effective imaging
techniques used in the medical field for both clinical investigation and diagnosis. This is due …
techniques used in the medical field for both clinical investigation and diagnosis. This is due …