A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches

X Li, C Li, MM Rahaman, H Sun, X Li, J Wu… - Artificial Intelligence …, 2022 - Springer
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …

Vehicle detection techniques for collision avoidance systems: A review

A Mukhtar, L **a, TB Tang - IEEE transactions on intelligent …, 2015 - ieeexplore.ieee.org
Over the past decade, vision-based vehicle detection techniques for road safety
improvement have gained an increasing amount of attention. Unfortunately, the techniques …

Infrared and visible image fusion methods and applications: A survey

J Ma, Y Ma, C Li - Information fusion, 2019 - Elsevier
Infrared images can distinguish targets from their backgrounds based on the radiation
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …

Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram

D Chen, Z Liu, W Liu, M Fu, W Jiang, S Xu… - Nature …, 2021 - nature.com
Accurate prediction of peritoneal metastasis for gastric cancer (GC) with serosal invasion is
crucial in clinic. The presence of collagen in the tumour microenvironment affects the …

Tomato leaf diseases classification based on leaf images: a comparison between classical machine learning and deep learning methods

L Tan, J Lu, H Jiang - AgriEngineering, 2021 - mdpi.com
Tomato production can be greatly reduced due to various diseases, such as bacterial spot,
early blight, and leaf mold. Rapid recognition and timely treatment of diseases can minimize …

Segmentation and feature extraction in medical imaging: a systematic review

CL Chowdhary, DP Acharjya - Procedia Computer Science, 2020 - Elsevier
Image processing techniques being crucial towards analyzing and resolving issues in
medical imaging since last two decades. Medical imaging is a process or technique to find …

Brain tumor classification via statistical features and back-propagation neural network

MR Ismael, I Abdel-Qader - 2018 IEEE international conference …, 2018 - ieeexplore.ieee.org
Classification of brain tumor is the heart of the computer-aided diagnosis (CAD) system
designed to aid the radiologist in the diagnosis of such tumors using Magnetic Resonance …

[LIVRE][B] Feature extraction and image processing for computer vision

M Nixon, A Aguado - 2019 - books.google.com
Feature Extraction for Image Processing and Computer Vision is an essential guide to the
implementation of image processing and computer vision techniques, with tutorial …

[PDF][PDF] A review on image feature extraction and representation techniques

D ** Tian - International Journal of Multimedia and Ubiquitous …, 2013 - gvpress.com
Feature extraction and representation is a crucial step for multimedia processing. How to
extract ideal features that can reflect the intrinsic content of the images as complete as …

Steganalysis of adaptive JPEG steganography using 2D Gabor filters

X Song, F Liu, C Yang, X Luo, Y Zhang - … of the 3rd ACM workshop on …, 2015 - dl.acm.org
Adaptive JPEG steganographic schemes are difficult to preserve the image texture features
in all scales and orientations when the embedding changes are constrained to the …