Deep learning for medical image-based cancer diagnosis

X Jiang, Z Hu, S Wang, Y Zhang - Cancers, 2023 - mdpi.com
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

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 …

Optimization of deep neural networks for multiclassification of dental X-rays using transfer learning

GD Deepak, S Krishna Bhat - Computer Methods in Biomechanics …, 2024 - Taylor & Francis
In this work, the segmented dental X-ray images obtained by dentists have been classified
into ideal/minimally compromised edentulous area (no clinical treatment needed …

Drivers Drowsiness Detection using Image Processing and I-Ear Techniques

S Ananthi, R Sathya, K Vaidehi… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Fatigue and micro-sleep at the wheel are often the cause of serious accidents.
Consequently, the initial signs of micro-sleep can be detected before a critical situation …

Enhancing the Zebra Optimization Algorithm with Chaotic Sinusoidal Map for Versatile Optimization

D Anand, OI Khalaf… - Iraqi Journal For …, 2024 - ijcsm.researchcommons.org
In this study, the Chaotic Sinusoidal Map (CSM)-enhanced Zebra Optimization Algorithm
(CZOA) is introduced. CZOA combines CSM's integration strengths with ZOA's optimization …

Epileptic seizure classification using fuzzy lattices and Neural Reinforcement Learning

A Kukker, R Sharma, O Mishra… - Computer Methods in …, 2024 - Taylor & Francis
ABSTRACT This work uses Fuzzy Lattices and Neural Reinforcement Learning techniques
for seizure classification. EEG database of Bonn University and CHB-MIT has been used for …

Hybrid generative model for grading the severity of diabetic retinopathy images

R Bhuvaneswari, M Diviya… - Computer Methods in …, 2024 - Taylor & Francis
One of the common eye conditions affecting patients with diabetes is diabetic retinopathy
(DR). It is characterised by the progressive impairment to the blood vessels with the increase …

Original Research Article Identification of meningioma tumor using recurrent neural networks

D Anand, OI Khalaf, GM Abdulsahib… - Journal of Autonomous …, 2024 - jai.front-sci.com
By the calculations of national center for biotechnology information from COVID 19
pandemic, number of meningioma tumor patients are increasing in world. Identifying the …

[HTML][HTML] Detection of bone cancer based on a four-phase framework generative deep belief neural network in deep learning

R Aarthy, V Muthupriya, GN Balaji - Alexandria Engineering Journal, 2024 - Elsevier
The medical image processing plays an important role in analyzing and detecting tumors
and detecting cancer cells in their early stages. Microscopic images were used as a deep …

Exploiting biochemical data to improve osteosarcoma diagnosis with deep learning

S Wang, Y Shen, F Zeng, M Wang, B Li, D Shen… - … Information Science and …, 2024 - Springer
Early and accurate diagnosis of osteosarcomas (OS) is of great clinical significance, and
machine learning (ML) based methods are increasingly adopted. However, current ML …