Bone cancer detection using feature extraction based machine learning model

A Sharma, DP Yadav, H Garg, M Kumar… - … Methods in Medicine, 2021 - Wiley Online Library
Bone cancer is considered a serious health problem, and, in many cases, it causes patient
death. The X‐ray, MRI, or CT‐scan image is used by doctors to identify bone cancer. The …

Bone cancer detection using machine learning techniques

D Shrivastava, S Sanyal, AK Maji, D Kandar - Smart healthcare for disease …, 2020 - Elsevier
Bone cancer is one of the life threatening diseases which may cause death to many
individuals. There must be an accurate detection and classification system available to …

[Retracted] A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach

A Sriram, G Sekhar Reddy… - Evidence‐Based …, 2022 - Wiley Online Library
The Internet of Medical Things (IoMT) is a huge, exciting new phenomenon that is changing
the world of technology and innovating various industries, including healthcare. It has …

Enhancing bone cancer diagnosis through image extraction and machine learning: a state-of-the-art approach

A Shrivastava, MK Nag - Surgical Innovation, 2024 - journals.sagepub.com
Background: Bone cancer is a severe condition often leading to patient mortality. Diagnosis
relies on X-rays, MRIs, or CT scans, which require time-consuming manual review by …

Intelligent systems powered hourly attendance capturing system

N Yasmeen, S Doss - 2023 7th International Conference on …, 2023 - ieeexplore.ieee.org
In all institutions, keeping attendance is essential in order to monitor the student attendance
percentage. Each institute takes a distinct stance in this regard. Others continue to manually …

Integrated approach for bone tumor detection from mri scan imagery

KD Mistry, BJ Talati - 2016 International Conference on Signal …, 2016 - ieeexplore.ieee.org
A tumor is an abnormal growth of new tissue that can occur in any of the body's organs. In
recent years, there are many kinds of tumors are detected in the human body like Breast …

Development of a Programmed Generation of t-way Test cases Using an Improved Particle Swarm Optimization Strategy

ML Prasad, JKR Sastry, B Mallikarjuna… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Extensive testing is constrained by a lack of resources and time limitations. As a result,
producing appropriate testing data in real-time is critical for advancing the entire application …

SVM-based bone tumor detection by using the texture features of X-ray image

C Xia, K Niu, Z He, S Tang, J Wang… - … and digital content …, 2018 - ieeexplore.ieee.org
Bone tumor is a kind of harmful tumor which mostly occurs in adolescents. In this paper, we
present a support vector machine (SVM) based bone tumor detector by using the texture …

A Study of Machine Learning Methods-Based Affective Disorders Detection Using Multi-Class Classification

B Tungana, MM Hanafiah, S Doss - … Engineering Applications and …, 2023 - igi-global.com
Psychological health issues like stress, anxiety and depression is becoming general due to
various factors. Different severity levels of stress, anxiety and depression have varied …

Immediate Animal Recognition and Anticipation Classification for Harvest Fields Using Machine Learning Techniques

ML Prasad, C Srinivasulu, BN Reddy… - 2024 Ninth …, 2024 - ieeexplore.ieee.org
An automatic electronic human eye was designed which helps to sense the presence of
humans. In this project, the goal is to use electronic sensors and technology to detect the …