Using Convolutional Neural Network to Enhance Classification Accuracy of Cancerous Lung Masses from CT Scan Images

MM Nakhaie, S Karamizadeh… - Journal of AI and Data …, 2023 - jad.shahroodut.ac.ir
Lung cancer is a highly serious illness, and detecting cancer cells early significantly
enhances patients' chances of recovery. Doctors regularly examine a large number of CT …

IoMT Monitoring Devices: Challenges and Opportunities Check for updates

AA Alzoubi, A Alketbi, A Alzarooni - … AND ANALYTICS (TIBIA), 2024 - books.google.com
Abstract The Internet of Medical Things has demonstrated considerable promise in
improving health-related assurance and enables a variety of applications. The …

A Review on Security Attacks and countermeasure in Home Area Network (HAN)

J Arshad, AU Rehman, SG Niazi… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
The smart devices intercommunication concept has gained an enormous increase in fame
and use with the constant development and research in communication networking …

Detection of Lung and Colon Cancer from Histopathological Images: Using Convolutional Networks and Transfer Learning

A Oubaalla, H El Moubtahij… - International Journal of …, 2024 - journal.uob.edu.bh
Analyzing histopathology images to detect the presence of cancer cells is a very important
task during cancer treatment. This task has traditionally been largely done by manual …

Evaluation of Purchasers Mentalities When Buying IoT Home Security Devices Check for updates Hussam Al Hamadi, Haitham M. Alzoubi®, Mohamed Alyafei …

A Almokahel - TECHNOLOGY INNOVATION FOR BUSINESS …, 2024 - books.google.com
Abstract The Internet of Things (IoT) is a much-advertised idea that spins around interfacing
keen contraptions to the Internet instead of people. Purchaser IoT is once in a while alluded …

Effective Machine Learning Methods for the Detection of Pulmonary Carcinoma

G Poornima, L Anand - 2024 Ninth International Conference on …, 2024 - ieeexplore.ieee.org
The escalating mortality rate attributed to lung cancer is exacerbated by its inflammatory
nature, fostering uncontrolled cellular proliferation within lung tissues. While complete …

Deep Learning Techniques for Colorectal Cancer Detection: Convolutional Neural Networks vs Vision Transformers

M Sari, A Moussaoui, A Hadid - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Colorectal cancer (CRC) is one of the most common cancers among humans, its diagnosis
is made through the visual analysis of tissue samples by pathologists; artificial intelligence …

Application of CNN and Recurrent Neural Network Method for Osteosarcoma Bone Cancer Detection

S Nanthini, R Sivabalan, S Sivabalan… - … Conference on Self …, 2023 - ieeexplore.ieee.org
The outlook for people with metastatic osteosarcoma at an advanced stage is poor.
Osteosarcoma is the most frequent form of bone cancer in children and young adults. There …

Lung and Colon Cancer Detection using Transfer Learning

G Amirthayogam, S Suhita, G Maheswari… - 2024 Ninth …, 2024 - ieeexplore.ieee.org
Lung and colon most cancers are common and adverse sicknesses in modern-day society
and pose tremendous fitness risks worldwide. Accurate detection of those cancers is …

Harmonizing the Scale: An End-to-End Self-Supervised Framework for Cross-Modal Search and Retrieval in Histopathology Archives

H Tizhoosh, D Maleki, S Rahnamayan - 2023 - researchsquare.com
The exponential growth of data across various medical domains has generated a substantial
demand for techniques to analyze multimodal big data. This demand is particularly …