Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
Review on the applications of deep learning in the analysis of gastrointestinal endoscopy images
W Du, N Rao, D Liu, H Jiang, C Luo, Z Li, T Gan… - Ieee …, 2019 - ieeexplore.ieee.org
Gastrointestinal (GI) disease is one of the most common diseases and primarily examined
by GI endoscopy. Recently, deep learning (DL), in particular convolutional neural networks …
by GI endoscopy. Recently, deep learning (DL), in particular convolutional neural networks …
Multi-class skin lesion detection and classification via teledermatology
Teledermatology is one of the most illustrious applications of telemedicine and e-health. In
this field, telecommunication technologies are utilized to transfer medical information to the …
this field, telecommunication technologies are utilized to transfer medical information to the …
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 …
Attention aware deep learning model for wireless capsule endoscopy lesion classification and localization
P Muruganantham, SM Balakrishnan - Journal of Medical and Biological …, 2022 - Springer
Purpose Wireless capsule endoscopy (WCE) is a fundamental diagnosing tool for gastro-
intestinal (GI) lesion detection. Detecting and locating the lesions in WCE images using a …
intestinal (GI) lesion detection. Detecting and locating the lesions in WCE images using a …
Wireless capsule endoscopy: A new tool for cancer screening in the colon with deep-learning-based polyp recognition
Accurate recognition of polyps is crucial for early colorectal cancer diagnosis and treatment.
Wireless capsule endoscopy (WCE) is a noninvasive, wireless imaging tool that allows …
Wireless capsule endoscopy (WCE) is a noninvasive, wireless imaging tool that allows …
Semi-supervised WCE image classification with adaptive aggregated attention
Accurate abnormality classification in Wireless Capsule Endoscopy (WCE) images is crucial
for early gastrointestinal (GI) tract cancer diagnosis and treatment, while it remains …
for early gastrointestinal (GI) tract cancer diagnosis and treatment, while it remains …
Vision-based personalized wireless capsule endoscopy for smart healthcare: taxonomy, literature review, opportunities and challenges
Abstract Wireless Capsule Endoscopy (WCE) is a patient-friendly approach for digestive
tract monitoring to support medical experts towards identifying any anomaly inside human's …
tract monitoring to support medical experts towards identifying any anomaly inside human's …
A complete framework for accurate recognition and prognosis of COVID-19 patients based on deep transfer learning and feature classification approach
The sudden appearance of COVID-19 has put the world in a serious situation. Due to the
rapid spread of the virus and the increase in the number of infected patients and deaths …
rapid spread of the virus and the increase in the number of infected patients and deaths …
Recognizing gastrointestinal malignancies on WCE and CCE images by an ensemble of deep and handcrafted features with entropy and PCA based features …
In medical imaging, automated detection of stomach and gastrointestinal diseases using
WCE (wireless capsule endoscopy) images is an emerging research domain. It includes …
WCE (wireless capsule endoscopy) images is an emerging research domain. It includes …