Deep learning with radiomics for disease diagnosis and treatment: challenges and potential

X Zhang, Y Zhang, G Zhang, X Qiu, W Tan, X Yin… - Frontiers in …, 2022 - frontiersin.org
The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and …

[HTML][HTML] Machine learning predictive models for acute pancreatitis: a systematic review

Y Zhou, Y Ge, X Shi, K Wu, W Chen, Y Ding… - International journal of …, 2022 - Elsevier
Introduction Acute pancreatitis (AP) is a common clinical pancreatic disease. Patients with
different severity levels have different clinical outcomes. With the advantages of algorithms …

[HTML][HTML] Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment: A minireview

PK Wong, IN Chan, HM Yan, S Gao… - World Journal of …, 2022 - ncbi.nlm.nih.gov
Gastrointestinal (GI) cancers are the major cause of cancer-related mortality globally.
Medical imaging is an important auxiliary means for the diagnosis, assessment and …

A benchmark dataset of endoscopic images and novel deep learning method to detect intestinal metaplasia and gastritis atrophy

J Yang, Y Ou, Z Chen, J Liao, W Sun… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Endoscopy has been routinely used to diagnose stomach diseases including intestinal
metaplasia (IM) and gastritis atrophy (GA). Such routine examination usually demands …

[HTML][HTML] Multi-label recognition of cancer-related lesions with clinical priors on white-light endoscopy

T Yu, N Lin, X Zhong, X Zhang, X Zhang, Y Chen… - Computers in Biology …, 2022 - Elsevier
Deep learning-based computer-aided diagnosis techniques have demonstrated
encouraging performance in endoscopic lesion identification and detection, and have …

[HTML][HTML] Endoscopic advances in the management of gastric cancer and premalignant gastric conditions

E Park, M Nishimura, P Simoes - World Journal of Gastrointestinal …, 2023 - ncbi.nlm.nih.gov
Gastric cancer is the fifth most common cancer and in 2018, it was the third most common
cause of cancer-related deaths worldwide. Endoscopic advances continue to be made for …

Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text

H Li, P Zhang, Z Wei, T Qian, Y Tang, K Hu… - Frontiers in Artificial …, 2023 - frontiersin.org
Background Due to the lower reliability of laboratory tests, skin diseases are more suitable
for diagnosis with AI models. There are limited AI dermatology diagnostic models combining …

Research on prediction of physical fitness test results in colleges and universities based on deep learning

J Wang, B Wu, Y Jiang, Y Yuan - Mathematical problems in …, 2022 - Wiley Online Library
All‐round development strategy of quality education makes primary and secondary school
students not only pursue the improvement of achievement but also carry out physical …

Radiomics in clinical trials: perspectives on standardization

K Nie, Y Xiao - Physics in Medicine & Biology, 2022 - iopscience.iop.org
The term biomarker is used to describe a biological measure of the disease behavior. The
existing imaging biomarkers are associated with the known tissue biological characteristics …

[HTML][HTML] Fusing compressed deep ConvNets with a self-normalizing residual block and alpha dropout for a cost-efficient classification and diagnosis of gastrointestinal …

FJP Montalbo - MethodsX, 2022 - Elsevier
The challenging task of diagnosing gastrointestinal (GI) tracts recently became a popular
research topic, where most researchers performed extraordinary feats using numerous deep …