A review: The detection of cancer cells in histopathology based on machine vision
W He, T Liu, Y Han, W Ming, J Du, Y Liu, Y Yang… - Computers in Biology …, 2022 - Elsevier
Abstract Machine vision is being employed in defect detection, size measurement, pattern
recognition, image fusion, target tracking and 3D reconstruction. Traditional cancer detection …
recognition, image fusion, target tracking and 3D reconstruction. Traditional cancer detection …
Review of quaternion-based color image processing methods
Images are a convenient way for humans to obtain information and knowledge, but they are
often destroyed throughout the collection or distribution process. Therefore, image …
often destroyed throughout the collection or distribution process. Therefore, image …
A visually interpretable deep learning framework for histopathological image-based skin cancer diagnosis
Owing to the high incidence rate and the severe impact of skin cancer, the precise diagnosis
of malignant skin tumors is a significant goal, especially considering treatment is normally …
of malignant skin tumors is a significant goal, especially considering treatment is normally …
Quaternion-based weighted nuclear norm minimization for color image restoration
Color image restoration is one of the basic tasks in pattern recognition. Unlike grayscale
image, each color image has three channels in the RGB color space. Due to the inner …
image, each color image has three channels in the RGB color space. Due to the inner …
A convolutional neural network and graph convolutional network based framework for classification of breast histopathological images
The spatial correlation among different tissue components is an essential characteristic for
diagnosis of breast cancers based on histopathological images. Graph convolutional …
diagnosis of breast cancers based on histopathological images. Graph convolutional …
Global Contrast-Masked Autoencoders Are Powerful Pathological Representation Learners
Using digital pathology slide scanning technology, artificial intelligence algorithms,
particularly deep learning, have achieved significant results in the field of computational …
particularly deep learning, have achieved significant results in the field of computational …
Low-rank quaternion tensor completion for recovering color videos and images
J Miao, KI Kou, W Liu - Pattern Recognition, 2020 - Elsevier
Low-rank quaternion tensor completion method, a novel approach to recovery color videos
and images, is proposed in this paper. We respectively reconstruct a color image and a color …
and images, is proposed in this paper. We respectively reconstruct a color image and a color …
Generating knowledge-guided discriminative features using genetic programming for melanoma detection
Melanoma is the deadliest form of skin cancer that causes around 75% of deaths worldwide.
However, most of the skin cancers can be cured, especially if detected and treated early …
However, most of the skin cancers can be cured, especially if detected and treated early …
GQ-GCN: Group quadratic graph convolutional network for classification of histopathological images
Convolutional neural network (CNN) has achieved superior performance on the computer-
aided diagnosis for histopathological images. Although the spatial arrangement of cells of …
aided diagnosis for histopathological images. Although the spatial arrangement of cells of …
Multi-scale efficient graph-transformer for whole slide image classification
The multi-scale information among the whole slide images (WSIs) is essential for cancer
diagnosis. Although the existing multi-scale vision Transformer has shown its effectiveness …
diagnosis. Although the existing multi-scale vision Transformer has shown its effectiveness …