[HTML][HTML] Healthcare Internet of Things (H-IoT): Current trends, future prospects, applications, challenges, and security issues
Advancements in Healthcare Internet of Things (H-IoT) systems have created new
opportunities and solutions for healthcare services, including the remote treatment and …
opportunities and solutions for healthcare services, including the remote treatment and …
[HTML][HTML] Fine-tuned DenseNet-169 for breast cancer metastasis prediction using FastAI and 1-cycle policy
Lymph node metastasis in breast cancer may be accurately predicted using a DenseNet-
169 model. However, the current system for identifying metastases in a lymph node is …
169 model. However, the current system for identifying metastases in a lymph node is …
Data classification using rough set and bioinspired computing in healthcare applications-an extensive review
N Kumari, DP Acharjya - Multimedia Tools and Applications, 2023 - Springer
The change in living standard made people to think on their physical health. Accordingly,
healthcare organizations are concentrating more on physical health of people in terms of …
healthcare organizations are concentrating more on physical health of people in terms of …
[HTML][HTML] Guidance image-based enhanced matched filter with modified thresholding for blood vessel extraction
S Dash, S Verma, Kavita, S Bevinakoppa, M Wozniak… - Symmetry, 2022 - mdpi.com
Fundus images have been established as an important factor in analyzing and recognizing
many cardiovascular and ophthalmological diseases. Consequently, precise segmentation …
many cardiovascular and ophthalmological diseases. Consequently, precise segmentation …
Detection of lung cancer in CT scans using grey wolf optimization algorithm and recurrent neural network
Purpose For radiologists, identifying and assessing thelung nodules of cancerous form from
CT scans is a difficult and laborious task. As a result, early lung growing prediction is …
CT scans is a difficult and laborious task. As a result, early lung growing prediction is …
[HTML][HTML] Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm
AMQ Farhan, S Yang - Multimedia Tools and Applications, 2023 - Springer
The chest X-ray images provide vital information about the congestion cost-effectively. We
propose a novel Hybrid Deep Learning Algorithm (HDLA) framework for automatic lung …
propose a novel Hybrid Deep Learning Algorithm (HDLA) framework for automatic lung …
[HTML][HTML] Vbswp-CeaH: Vigorous Buyer-Seller Watermarking Protocol without Trusted Certificate Authority for Copyright Protection in Cloud Environment through …
Cloud-based storage ensures the secure dissemination of media. Authentication and
integrity are important aspects in the distribution of digital media. Encryption-based …
integrity are important aspects in the distribution of digital media. Encryption-based …
[HTML][HTML] Cancerous tumor controlled treatment using search heuristic (GA)-based sliding mode and synergetic controller
Simple Summary Cancer is basically a tough condition on a patient's body where cell grows
uncontrollably. Normal cells are affected, which destroys the health of the patient. The main …
uncontrollably. Normal cells are affected, which destroys the health of the patient. The main …
Improved QoS aware routing protocol (IM-QRP) for WBAN based healthcare monitoring system
Wireless Body Area Network (WBAN) is a special purpose wireless sensors network
designed to connect various self-autonomous medical sensors and appliances located …
designed to connect various self-autonomous medical sensors and appliances located …
Analysis of retinal blood vessel segmentation techniques: a systematic survey
Abstract Segmentation of Blood Vessel is a challenging mission in medical image
processing to diagnose the disease. It evaluates vessels crucial in automatic retinal vessel …
processing to diagnose the disease. It evaluates vessels crucial in automatic retinal vessel …