A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
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 …
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …
Vehicle detection techniques for collision avoidance systems: A review
Over the past decade, vision-based vehicle detection techniques for road safety
improvement have gained an increasing amount of attention. Unfortunately, the techniques …
improvement have gained an increasing amount of attention. Unfortunately, the techniques …
Infrared and visible image fusion methods and applications: A survey
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 …
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
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 …
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 …
early blight, and leaf mold. Rapid recognition and timely treatment of diseases can minimize …
Segmentation and feature extraction in medical imaging: a systematic review
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 …
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
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 …
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 …
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 …
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 …
in all scales and orientations when the embedding changes are constrained to the …