Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model

F Ullah, J Moon, H Naeem, S Jabbar - The Journal of Supercomputing, 2022 - Springer
Population size has made disease monitoring a major concern in the healthcare system,
due to which auto-detection has become a top priority. Intelligent disease detection …

Combining Riemann–Lebesgue-Based Key Generator and Machine-Learning-Based Intelligent Encryption Scheme for IoMT Images Infosecurity

CH Lin, HY Lai, PT Huang, PY Chen… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Imaging examinations, such as chest X-ray (CXR) images, can be used for early detection of
diseases inside the human body, such as lung cancer, and cardio-pulmonary-related …

Temporal signed gestures segmentation in an image sequence using deep reinforcement learning

D Kalandyk, T Kapuściński - Engineering Applications of Artificial …, 2024 - Elsevier
Continuous sign language recognition is challenging due to coarticulatory distortions, which
occur at the beginning and end of each gesture. These distortions depend on the temporal …

[PDF][PDF] DCE-Net: A Dynamic Context Encoder Network for Liver Tumor Segmentation

J Liu, L Shao, C Zhou, Z Yan, Y Han, Y Song - 2023 - academia.edu
Segmentation of a tumor region from medical images is critical for clinical diagnosis and the
planning of surgical treatments. Recent advancements in machine learning have shown that …

Review of liver tumor segmentation and therapy planning

B Pallavi, MS Rani - Computer Science Engineering, 2024 - taylorfrancis.com
The liver is a vital organ in the human body, and the mortality rate from liver cancer is
increasing every day. Liver cancer is often regarded as one of the deadliest diseases ever …