Cellular community detection for tissue phenotyping in colorectal cancer histology images
Classification of various types of tissue in cancer histology images based on the cellular
compositions is an important step towards the development of computational pathology tools …
compositions is an important step towards the development of computational pathology tools …
Privacy-enhanced data collection based on deep learning for internet of vehicles
T Wang, Z Cao, S Wang, J Wang, L Qi… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The development of smart cities and deep learning technology is changing our physical
world to a cyber world. As one of the main applications, the Internet of Vehicles has been …
world to a cyber world. As one of the main applications, the Internet of Vehicles has been …
ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning
A Rączkowska, M Możejko, J Zambonelli… - Scientific reports, 2019 - nature.com
Abstract Machine learning algorithms hold the promise to effectively automate the analysis
of histopathological images that are routinely generated in clinical practice. Any machine …
of histopathological images that are routinely generated in clinical practice. Any machine …
Security and privacy of smart home systems based on the Internet of Things and stereo matching algorithms
With the rapid development of the Internet of Things (IoT), security and privacy of smart
home systems based on IoT are more and more popular. As the key component of IoT …
home systems based on IoT are more and more popular. As the key component of IoT …
A neural pathomics framework for classifying colorectal cancer histopathology images based on wavelet multi-scale texture analysis
Colorectal cancer (CRC) constitutes the third most commonly diagnosed cancer in males
and the second in females. Precise histopathological classification of CRC tissue pathology …
and the second in females. Precise histopathological classification of CRC tissue pathology …
Multiplex cellular communities in multi-gigapixel colorectal cancer histology images for tissue phenotyping
In computational pathology, automated tissue phenotyping in cancer histology images is a
fundamental tool for profiling tumor microenvironments. Current tissue phenotyping methods …
fundamental tool for profiling tumor microenvironments. Current tissue phenotyping methods …
Knowledge distillation in histology landscape by multi-layer features supervision
Automatic tissue classification is a fundamental task in computational pathology for profiling
tumor micro-environments. Deep learning has advanced tissue classification performance at …
tumor micro-environments. Deep learning has advanced tissue classification performance at …
Deep learning based breast cancer detection and classification using fuzzy merging techniques
R Krithiga, P Geetha - Machine Vision and Applications, 2020 - Springer
Automatic identification of abnormal and normal cells is a critical step in computer-assisted
pathology, owing to certain heterogeneous characteristics of cancer cells. However …
pathology, owing to certain heterogeneous characteristics of cancer cells. However …
A novel approach inspired by optic nerve characteristics for few-shot occluded face recognition
Although there has been a growing body of work for face recognition, it is still a challenging
task for faces under occlusion with limited training samples. In this work, we propose a novel …
task for faces under occlusion with limited training samples. In this work, we propose a novel …
Cover selection for steganography using image similarity
Existing cover selection methods for steganography mainly focus on embedding distortion of
each image, but ignore the similarity between images. When the cover images are similar, a …
each image, but ignore the similarity between images. When the cover images are similar, a …