[HTML][HTML] Application of the convolutional neural networks and supervised deep-learning methods for osteosarcoma bone cancer detection

S Gawade, A Bhansali, K Patil, D Shaikh - Healthcare Analytics, 2023 - Elsevier
Osteosarcoma is a cancerous tumor that occurs in bones. Although it can occur in any bone,
it often occurs in long bones such as arms and legs. The exact cause of this cancerous …

A survey on deep learning and machine learning techniques over histopathology image based Osteosarcoma Detection

KV Deepak, R Bharanidharan - Multimedia Tools and Applications, 2024 - Springer
Osteosarcoma is a common type of cancer that occurs in the cells and spreads to the bones.
Osteosarcoma can develop due to genetic mutations, but most cases are not inherited. It …

Bone metastasis detection method based on improving golden jackal optimization using whale optimization algorithm

O Magdy, M Abd Elaziz, A Elgarayhi, AA Ewees… - Scientific Reports, 2023 - nature.com
This paper presents a machine learning-based technique for interpreting bone scintigraphy
images, focusing on feature extraction and introducing a new feature selection method …

Bone cancer detection and Classification Using Owl Search Algorithm with deep learning on X-Ray images

E Alabdulkreem, MK Saeed, SS Alotaibi, R Allafi… - IEEE …, 2023 - ieeexplore.ieee.org
Bone cancer is treated as a severe health problem, and, in many cases, it causes patient
death. Early detection of bone cancer is efficient in reducing the spread of malignant cells …

Computer based detection of alcohol consumed candidates using face expressions with SIFT and bag of words

A Bekkanti, G Parasa, A Krishna… - … on Trends in …, 2021 - ieeexplore.ieee.org
Nowadays, alcohol consumption is emerging as one of the most serious social issues. Many
traffic accidents occur as a result of driving while inebriated. It poses a severe threat to the …

[HTML][HTML] Comparison of Convolutional Neural Networks and Support Vector Machines on Medical Data: A Review

F Furizal, A Ma'arif, D Rifaldi… - International Journal of …, 2024 - pubs2.ascee.org
Medical image processing has become an integral part of disease diagnosis, where
technological advancements have brought significant changes to this approach. In this …

DTBV: A deep transfer-based bone cancer diagnosis system using VGG16 feature extraction

G Suganeshwari, R Balakumar, K Karuppanan… - Diagnostics, 2023 - mdpi.com
Among the many different types of cancer, bone cancer is the most lethal and least
prevalent. More cases are reported each year. Early diagnosis of bone cancer is crucial …

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 …

Novel approach of internet of things (IoT) based smart ambulance system for patient's health monitoring

A Bekkanti, R Aishwarya, Y Suganya… - … on Smart Electronics …, 2021 - ieeexplore.ieee.org
In countries like India where the density of population is more, it is very difficult to reach the
hospital in case of emergency due to heavy traffic. Sometimes the communication to the …

Augmented Reality Experience for Real-World Objects, Monuments, and Cities

CZ Basha, DP kiran Reddy… - … Inventive Research in …, 2021 - ieeexplore.ieee.org
Augmented reality experience enables us to view real-world objects in 3D by overlapping
real-world objects with digital 3d objects to provide a much-enhanced user experience. This …