A comprehensive survey on feature selection in the various fields of machine learning
Abstract In Machine Learning (ML), Feature Selection (FS) plays a crucial part in reducing
data's dimensionality and enhancing any proposed framework's performance. However, in …
data's dimensionality and enhancing any proposed framework's performance. However, in …
Application of artificial intelligence to gastroenterology and hepatology
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
Kvasir: A multi-class image dataset for computer aided gastrointestinal disease detection
K Pogorelov, KR Randel, C Griwodz… - Proceedings of the 8th …, 2017 - dl.acm.org
Automatic detection of diseases by use of computers is an important, but still unexplored
field of research. Such innovations may improve medical practice and refine health care …
field of research. Such innovations may improve medical practice and refine health care …
[HTML][HTML] Modeling fragmentation probability of land-use and land-cover using the bagging, random forest and random subspace in the Teesta River Basin …
S Talukdar, KU Eibek, S Akhter, SK Ziaul… - Ecological …, 2021 - Elsevier
Land-use and land-cover (LULC) changes have become a crucial issue that urgently needs
to be addressed due to global environmental change. Many studies have employed remote …
to be addressed due to global environmental change. Many studies have employed remote …
Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis
Background and Aims Deep learning is an innovative algorithm based on neural networks.
Wireless capsule endoscopy (WCE) is considered the criterion standard for detecting small …
Wireless capsule endoscopy (WCE) is considered the criterion standard for detecting small …
Computer-aided gastrointestinal diseases analysis from wireless capsule endoscopy: a framework of best features selection
The continuous improvements in the area of medical imaging, makes the patient monitoring
a crucial concern. The internet of things (IoT) embedded in a medical technologies to collect …
a crucial concern. The internet of things (IoT) embedded in a medical technologies to collect …
[HTML][HTML] Artificial intelligence in gastroenterology: A state-of-the-art review
PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …
with clinical applications progressively being explored for most of the medical specialties …
Gastrointestinal diseases segmentation and classification based on duo-deep architectures
Nowadays, almost one million gastrointestinal patients are successfully treated by Wireless
Capsule Endoscopy (WCE). It is the latest technology in the area of medical imaging for the …
Capsule Endoscopy (WCE). It is the latest technology in the area of medical imaging for the …
Software for enhanced video capsule endoscopy: challenges for essential progress
Video capsule endoscopy (VCE) has revolutionized the diagnostic work-up in the field of
small bowel diseases. Furthermore, VCE has the potential to become the leading screening …
small bowel diseases. Furthermore, VCE has the potential to become the leading screening …
Local mesh patterns versus local binary patterns: biomedical image indexing and retrieval
In this paper, a new image indexing and retrieval algorithm using local mesh patterns are
proposed for biomedical image retrieval application. The standard local binary pattern …
proposed for biomedical image retrieval application. The standard local binary pattern …