Current status and future perspective of artificial intelligence applications in endoscopic diagnosis and management of gastric cancer

T Hirasawa, Y Ikenoyama, M Ishioka… - Digestive …, 2021 - Wiley Online Library
Image recognition using artificial intelligence (AI) has progressed significantly due to
innovative technologies such as machine learning and deep learning. In the field of gastric …

Artificial intelligence for the detection of pancreatic lesions

JA Anta, I Martínez-Ballestero, D Eiroa, J García… - International Journal of …, 2022 - Springer
Purpose Pancreatic cancer is one of the most lethal neoplasms among common cancers
worldwide, and PCLs are well-known precursors of this type of cancer. Artificial intelligence …

Diagnosis of breast tumors with ultrasonic texture analysis using support vector machines

YL Huang, KL Wang, DR Chen - Neural Computing & Applications, 2006 - Springer
This study presents a computer-aided diagnosis (CAD) system with textural features for
classifying benign and malignant breast tumors on medical ultrasound systems. A series of …

Breast cancer characterization based on image classification of tissue sections visualized under low magnification

C Loukas, S Kostopoulos, A Tanoglidi… - … methods in medicine, 2013 - Wiley Online Library
Rapid assessment of tissue biopsies is a critical issue in modern histopathology. For breast
cancer diagnosis, the shape of the nuclei and the architectural pattern of the tissue are …

Quantitative analysis of benign and malignant tumors in histopathology: Predicting prostate cancer grading using SVM

S Bhattacharjee, HG Park, CH Kim, D Prakash… - Applied Sciences, 2019 - mdpi.com
An adenocarcinoma is a type of malignant cancerous tissue that forms from a glandular
structure in epithelial tissue. Analyzed stained microscopic biopsy images were used to …

[HTML][HTML] Artificial intelligence in pancreatic cancer

B Huang, H Huang, S Zhang, D Zhang, Q Shi, J Liu… - Theranostics, 2022 - ncbi.nlm.nih.gov
Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%.
The pancreatic cancer patients diagnosed with early screening have a median overall …

Combining support vector machine with genetic algorithm to classify ultrasound breast tumor images

WJ Wu, SW Lin, WK Moon - Computerized Medical Imaging and Graphics, 2012 - Elsevier
To promote the classification accuracy and decrease the time of extracting features and
finding (near) optimal classification model of an ultrasound breast tumor image computer …

Peritumoral and intratumoral texture features based on multiparametric MRI and multiple machine learning methods to preoperatively evaluate the pathological …

N Xie, X Fan, D Chen, J Chen, H Yu… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Radiomics‐based preoperative evaluation of lymph node metastasis (LNM)
and histological grade (HG) might facilitate the decision‐making for pancreatic cancer and …

Automatic classification method of liver ultrasound standard plane images using pre-trained convolutional neural network

J Wu, P Zeng, P Liu, G Lv - Connection Science, 2022 - Taylor & Francis
The liver ultrasound standard planes (LUSP) have significant diagnostic significance during
ultrasonic liver diagnosis. However, the location and acquisition of LUSP could be a time …

Current developments of artificial intelligence in digital pathology and its future clinical applications in gastrointestinal cancers

ANN Wong, Z He, KL Leung, CCK To, CY Wong… - Cancers, 2022 - mdpi.com
Simple Summary The rapid development of technology has enabled numerous applications
of artificial intelligence (AI), especially in medical science. Histopathological assessment of …