Brain tumor detection and classification using deep learning and sine-cosine fitness grey wolf optimization

H ZainEldin, SA Gamel, ESM El-Kenawy, AH Alharbi… - Bioengineering, 2022 - mdpi.com
Diagnosing a brain tumor takes a long time and relies heavily on the radiologist's abilities
and experience. The amount of data that must be handled has increased dramatically as the …

Meta-heuristic optimization of LSTM-based deep network for boosting the prediction of monkeypox cases

MM Eid, ESM El-Kenawy, N Khodadadi, S Mirjalili… - Mathematics, 2022 - mdpi.com
Recent technologies such as artificial intelligence, machine learning, and big data are
essential for supporting healthcare monitoring systems, particularly for monitoring …

PIRAP: Medical cancer rehabilitation healthcare center data maintenance based on IoT-based deep federated collaborative learning

T Thirugnanam, MG Galety, MR Pradhan… - International Journal …, 2024 - World Scientific
Medical cancer rehabilitation healthcare center data maintenance is a global challenge with
increased mortality risk. The Internet of Things (IoT)-based applications in healthcare were …

A light gradient boosting machine learning-based approach for predicting clinical data breast cancer

W Qiuqian, GaoMin, Z KeZhu, Chenchen - Multiscale and Multidisciplinary …, 2025 - Springer
Abstract Breast Cancer Prediction (BCP) is a pivotal aspect of healthcare, and this research
paper delves into exploring diverse methodologies outlined in the literature. Recent trends …

[PDF][PDF] Breast cancer prediction using machine learing algorithms

H Trimukhe, R Wandale, S Tiwari, R Warade - Research gate, 2023 - researchgate.net
It is crucial to make a prompt and correct diagnosis of prevalent illnesses like breast cancer,
which affects many women. Specialist doctors make this assessment, however studies are …

Comparative Analysis of Various Machine Learning Techniques to Predict Breast Cancer

K Srivastava, P Garg, V Sharma… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Medical sciences have developed a lot in previous years which has significantly boosted the
average lifespan of Humans. Researchers have developed medications and therapies to …

Identification and Classification of Breast Cancer using Multilayer Perceptron Techniques for Histopathological Image

G Ramkumar - 2023 Second International Conference on …, 2023 - ieeexplore.ieee.org
Among the many types of cancer that affect women, breast cancer (BC) is one of the most
well-known. By analyzing and predicting BC, the condition can be effectively treated by …

Grading of Various Bone Neoplasms using SVM by Examining MRI Images

DD VADHRI SURYANARAYAN… - Journal of Survey …, 2023 - sifisheriessciences.com
Detecting and identifying bone cancers in Magnetic Resonance Imaging (MRI) is a difficult
and crucial job in medical imaging. MRI provides information about anatomical structures …

[PDF][PDF] EXPERT BRAIN TUMOR DETECTION AND CLASSIFICATION SYSTEM USING TWO LEVEL DIAGNOSIS

PG Patil, Y Patil, N Sanap, G Patil, J Mahajan - ijprems.com
Brain tumors are a significant health concern globally, with early and accurate detection
being critical for effective treatment and improved patient outcomes. This paper presents an …

[PDF][PDF] Brain Tumor MRI Classification.

CH Patil, SB Patil, PT Raut, K Borkar, S Rawade - 2015 - researchgate.net
Due to its complex and time consuming nature, magnetic resonance imaging (MRI) can be
an accurate method for classifying and independently detecting brain cancers, but it can …