[Retracted] EEG‐Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review
I Ahmad, X Wang, M Zhu, C Wang, Y Pi… - Computational …, 2022 - Wiley Online Library
Epileptic seizure is one of the most chronic neurological diseases that instantaneously
disrupts the lifestyle of affected individuals. Toward developing novel and efficient …
disrupts the lifestyle of affected individuals. Toward developing novel and efficient …
Medical image data augmentation: techniques, comparisons and interpretations
E Goceri - Artificial Intelligence Review, 2023 - Springer
Designing deep learning based methods with medical images has always been an attractive
area of research to assist clinicians in rapid examination and accurate diagnosis. Those …
area of research to assist clinicians in rapid examination and accurate diagnosis. Those …
A hybrid deep learning-based approach for brain tumor classification
Brain tumors (BTs) are spreading very rapidly across the world. Every year, thousands of
people die due to deadly brain tumors. Therefore, accurate detection and classification are …
people die due to deadly brain tumors. Therefore, accurate detection and classification are …
A novel hybrid deep learning model for metastatic cancer detection
Cancer has been found as a heterogeneous disease with various subtypes and aims to
destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis …
destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis …
[HTML][HTML] Artificial intelligence for visually impaired
J Wang, S Wang, Y Zhang - Displays, 2023 - Elsevier
The eyes are an essential tool for human observation and perception of the world, helping
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …
Intelligent hybrid deep learning model for breast cancer detection
Breast cancer (BC) is a type of tumor that develops in the breast cells and is one of the most
common cancers in women. Women are also at risk from BC, the second most life …
common cancers in women. Women are also at risk from BC, the second most life …
A novel decentralized blockchain architecture for the preservation of privacy and data security against cyberattacks in healthcare
Nowadays, in a world full of uncertainties and the threat of digital and cyber-attacks,
blockchain technology is one of the major critical developments playing a vital role in the …
blockchain technology is one of the major critical developments playing a vital role in the …
Classification framework for medical diagnosis of brain tumor with an effective hybrid transfer learning model
Brain tumors (BTs) are deadly diseases that can strike people of every age, all over the
world. Every year, thousands of people die of brain tumors. Brain-related diagnoses require …
world. Every year, thousands of people die of brain tumors. Brain-related diagnoses require …
Design and implementation of real-time object detection system based on single-shoot detector and OpenCV
Computer vision (CV) and human–computer interaction (HCI) are essential in many
technological fields. Researchers in CV are particularly interested in real-time object …
technological fields. Researchers in CV are particularly interested in real-time object …
Lung nodules localization and report analysis from computerized tomography (CT) scan using a novel machine learning approach
A lung nodule is a tiny growth that develops in the lung. Non-cancerous nodules do not
spread to other sections of the body. Malignant nodules can spread rapidly. One of the …
spread to other sections of the body. Malignant nodules can spread rapidly. One of the …