[Retracted] Prediction Performance of Deep Learning for Colon Cancer Survival Prediction on SEER Data

S Gupta, S Kalaivani, A Rajasundaram… - BioMed Research …, 2022 - Wiley Online Library
Colon and rectal cancers are the most common kinds of cancer globally. Colon cancer is
more prevalent in men than in women. Early detection increases the likelihood of survival …

Recent Challenges in Medical Science using Machine Learning Techniques: A Review

M Shah, P Padhiyar, K Parmar, J Patel… - … Conference on I …, 2023 - ieeexplore.ieee.org
Medical science is significantly impacted by the applications of Machine Learning (ML). ML
is a subset of Artificial Intelligence (AI) technology that improves physicians' efficiency and …

Machine Learning-Based Diagnosis and Detection of Liver Cancer: An Approach Enhancement

Y Kumar, P Kaur, J Rani - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
One of the most important organs in our body is the liver, yet liver cancer incidence has been
sharply rising in recent years, primarily as a result of poor lifestyles. In order to accurately …

A secure and light‐weight patient survival prediction in Internet of Medical Things framework

S Mittal, T Chawla, S Rahman, S Pal… - … Journal of Network …, 2024 - Wiley Online Library
Thoracic surgeries in major lung resections for primary lung cancer are fraught with potential
risks, emphasising the need to understand factors contributing to postoperative mortality …

Classification and segmentation of brain tumor MRI images using convolutional neural networks

CB Ruiz - 2023 IEEE International Conference on Engineering …, 2023 - ieeexplore.ieee.org
The precise identification and segmentation of brain tumors play a crucial role in medical
image analysis, enabling accurate diagnosis and effective treatment planning for a global …

Enhanced Metaheuristic Based Hyper-Parameters Tuning for Learning Models

J Singh, JK Sandhu, Y Kumar - 2023 6th International …, 2023 - ieeexplore.ieee.org
Hyperparameter tuning is a crucial step in the process of building accurate machine learning
models. Finding the optimal combination of hyperparameters can be challenging, especially …

Influenza Flu Diagnostics and Detection using Artificial Intelligence-based Learning Approaches: Challenges and Recent Study

Y Kumar, GP Kanna, SJKJ Kumar… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Influenza is a life-threatening disease mainly for an older population. Common causes of
death in Influenza related complications are pneumonia, obstructive pulmonary disease …

An Intensive Review on Propagative Antagonistic N/W which is used in Health Care System

A Badhoutiya, B Sivaiah, M Almusawi… - 2024 4th …, 2024 - ieeexplore.ieee.org
This article introduces a Generative Adversarial Network tailored for medical imaging, in
particular designed to synthesize retinal images alongside side their segmented mask. This …

Acute Medicine Reiterate Provider System using IOT and VG

SK Joshi, B Srinivas, J Seetaram… - 2024 4th …, 2024 - ieeexplore.ieee.org
In these studies, we introduce a modern, low-charge, wearable IoT-primarily based
prototype device or medication recipe designed to enhance the health monitoring and safety …

Automated Diagnosis and Detection of Blood Cancer Using Deep Learning-Based Approaches: A Recent Study and Challenges

JB Singh, V Luxmi - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
Blood cancer, also referred to as haematological malignancy, is a collection of cancers that
affect the blood, bone marrow, and lymphatic systems. Early and accurate blood cancer …