A two-stage method for polyp detection in colonoscopy images based on saliency object extraction and transformers
The gastrointestinal tract is responsible for the entire digestive process. Several diseases,
including colorectal cancer, can affect this pathway. Among the deadliest cancers, colorectal …
including colorectal cancer, can affect this pathway. Among the deadliest cancers, colorectal …
Computer-aided system for bleeding detection in wce images based on cnn-gru network
Wireless capsule endoscopy (WCE) is a non-invasive video technique used to investigate
gastrointestinal diseases such as hemorrhage, ulcer, and polyp. Automatic detection …
gastrointestinal diseases such as hemorrhage, ulcer, and polyp. Automatic detection …
Yolo-ob: An improved anchor-free real-time multiscale colon polyp detector in colonoscopy
X Yang, E Song, G Ma, Y Zhu, D Yu, B Ding… - … Signal Processing and …, 2025 - Elsevier
The various sizes of polyps in colonoscopy images lead to low recall rates for current deep
learning algorithms during polyp detection. To address this issue, we develop a new model …
learning algorithms during polyp detection. To address this issue, we develop a new model …
ViTCA-Net: a framework for disease detection in video capsule endoscopy images using a vision transformer and convolutional neural network with a specific …
Video capsule endoscopy (VCE) is a non-invasive procedure to examine the human bowel.
The VCE technology generates thousands of images from different parts of the …
The VCE technology generates thousands of images from different parts of the …
[HTML][HTML] Smart City Aquaculture: AI-Driven Fry Sorting and Identification Model
CY Kao, IC Chen - Applied Sciences, 2024 - mdpi.com
Featured Application Under the constraints of limited resources in smart cities, it is
necessary to separate fish by gender in the early stages and raise them separately. This …
necessary to separate fish by gender in the early stages and raise them separately. This …
Automatic Classification of Defective Solar Panels in Electroluminescence Images Based on Random Connection Network
W Xu, Y Shi, R Yang, B Ye, H Qiang - Electronics, 2024 - mdpi.com
Solar energy is an important renewable energy source, and the efficiency of solar panels is
crucial. However, tiny cracks and dark spots, defects of panels, can significantly affect power …
crucial. However, tiny cracks and dark spots, defects of panels, can significantly affect power …
Fast Object Detection Leveraging Global Feature Fusion in Boundary-Aware Convolutional Networks
Endoscopy, a pervasive instrument for the diagnosis and treatment of hollow anatomical
structures, conventionally necessitates the arduous manual scrutiny of seasoned medical …
structures, conventionally necessitates the arduous manual scrutiny of seasoned medical …
SEDARU-net: a squeeze-excitation dilated based residual U-Net with attention mechanism for automatic melanoma lesion segmentation
One of the most dangerous types of skin cancer, malignant melanoma, must be detected
early on in order to receive successful therapy. If melanoma is not diagnosed in a timely …
early on in order to receive successful therapy. If melanoma is not diagnosed in a timely …
A new hybrid approach for pneumonia detection using chest X-rays based on ACNN-LSTM and attention mechanism
Pneumonia is a serious inflammatory disease that causes lung ulcers, and it is one of the
leading reasons for pediatric death in the world. Chest X-rays are perhaps the most …
leading reasons for pediatric death in the world. Chest X-rays are perhaps the most …
Advancements in Polyp Detection: A Developed Single Shot Multibox Detector Approach
The significant challenge in detecting polyps in wireless capsule endoscopy and
colonoscopy images lies in identifying the small ones. This detection task exhibits variability …
colonoscopy images lies in identifying the small ones. This detection task exhibits variability …