An artificial immune system-based support vector machine approach for classifying ultrasound breast tumor images
A rapid and highly accurate diagnostic tool for distinguishing benign tumors from malignant
ones is required owing to the high incidence of breast cancer. Although various computer …
ones is required owing to the high incidence of breast cancer. Although various computer …
Artificial neural network application in the diagnosis of disease conditions with liver ultrasound images
K Kalyan, B Jakhia, RD Lele, M Joshi… - Advances in …, 2014 - Wiley Online Library
The preliminary study presented within this paper shows a comparative study of various
texture features extracted from liver ultrasonic images by employing Multilayer Perceptron …
texture features extracted from liver ultrasonic images by employing Multilayer Perceptron …
Automated classification of fatty and normal liver ultrasound images based on mutual information feature selection
Abstract Background Fatty Liver Disease (FLD) is one of the most critical diseases that
should be detected and cured at the earlier stage in order to decrease the mortality rate. To …
should be detected and cured at the earlier stage in order to decrease the mortality rate. To …
Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process
DY Liu, T Gan, NN Rao, YW Xing, J Zheng, S Li… - Medical image …, 2016 - Elsevier
The gastrointestinal endoscopy in this study refers to conventional gastroscopy and wireless
capsule endoscopy (WCE). Both of these techniques produce a large number of images in …
capsule endoscopy (WCE). Both of these techniques produce a large number of images in …
Pancreatic ductal adenocarcinoma: machine learning–based quantitative computed tomography texture analysis for prediction of histopathological grade
Purpose To assess the performance of combining computed tomography (CT) texture
analysis with machine learning for discriminating different histopathological grades of …
analysis with machine learning for discriminating different histopathological grades of …
Artificial intelligence for detecting and delineating the extent of superficial esophageal squamous cell carcinoma and precancerous lesions under narrow-band …
XL Yuan, XH Zeng, W Liu, Y Mou, WH Zhang… - Gastrointestinal …, 2023 - Elsevier
Background and Aims Although narrow-band imaging (NBI) is a useful modality for detecting
and delineating esophageal squamous cell carcinoma (ESCC), there is a risk of incorrectly …
and delineating esophageal squamous cell carcinoma (ESCC), there is a risk of incorrectly …
A review of medical image detection for cancers in digestive system based on artificial intelligence
Introduction: At present, cancer imaging examination relies mainly on manual reading of
doctors, which requests a high standard of doctors' professional skills, clinical experience …
doctors, which requests a high standard of doctors' professional skills, clinical experience …
Automated artificial intelligence model trained on a large data set can detect pancreas cancer on diagnostic computed tomography scans as well as visually occult …
Background & Aims The aims of our case-control study were (1) to develop an automated 3-
dimensional (3D) Convolutional Neural Network (CNN) for detection of pancreatic ductal …
dimensional (3D) Convolutional Neural Network (CNN) for detection of pancreatic ductal …
A novel multiresolution-statistical texture analysis architecture: radiomics-aided diagnosis of PDAC based on plain CT images
JJ Qiu, J Yin, W Qian, JH Liu, ZX Huang… - … on Medical Imaging, 2020 - ieeexplore.ieee.org
Early screening of PDAC (pancreatic ductal adenocarcinoma) based on plain CT (computed
tomography) images is of great significance. Therefore, this work conducted a radiomics …
tomography) images is of great significance. Therefore, this work conducted a radiomics …
Texture analysis and classification of ultrasound liver images
S Gao, Y Peng, H Guo, W Liu, T Gao… - Bio-medical materials …, 2014 - content.iospress.com
Ultrasound as a noninvasive imaging technique is widely used to diagnose liver diseases.
Texture analysis and classification of ultrasound liver images have become an important …
Texture analysis and classification of ultrasound liver images have become an important …