Feature-enhanced deep learning technique with soft attention for MRI-based brain tumor classification
BC Mohanty, PK Subudhi, R Dash… - International Journal of …, 2024 - Springer
Brain tumor classification using Magnetic Resonance Imaging (MRI) is a pivotal area in
medical diagnostics, with the potential to influence early detection and subsequent treatment …
medical diagnostics, with the potential to influence early detection and subsequent treatment …
Empowering fire and smoke detection in smart monitoring through deep learning fusion
P Verma, R Bakthula - International Journal of Information Technology, 2024 - Springer
Forest desertification might be caused by human activities and climatic changes, which also
have catastrophic effects on ecosystems sustaining agriculture and forests. Fire and smoke …
have catastrophic effects on ecosystems sustaining agriculture and forests. Fire and smoke …
Heart disease classification through crow intelligence optimization-based deep learning approach
Deep learning (DL) approaches provide predictive analysis capabilities for heart-related
diseases (HRD), enabling early pattern detection and identification of associated risk factors …
diseases (HRD), enabling early pattern detection and identification of associated risk factors …
The power of AI in marketing: enhancing efficiency and improving customer perception through AI-generated storyboards
A Chaisatitkul, K Luangngamkhum, K Noulpum… - International Journal of …, 2024 - Springer
This research was conducted to measure the attitudes and perceptions of a sample group
towards works created by Generative Artificial Intelligence (AI), specifically Chat Generative …
towards works created by Generative Artificial Intelligence (AI), specifically Chat Generative …
A diagnosis of ovarian cyst using deep learning neural network with XGBoost algorithm
Y Suganya, S Ganesan, P Valarmathi… - International Journal of …, 2023 - Springer
Ovarian cysts are one of the most common gynecologic disorders encountered in clinical
practice. The pelvic computed tomography (CT) scan is a commonly employed examination …
practice. The pelvic computed tomography (CT) scan is a commonly employed examination …
OCS-Net: a novel approach for oral carcinoma stage classification using generative adversarial networks and genetic algorithm-based convolutional neural networks
P Agarwal, A Yadav, P Mathur - International Journal of Information …, 2023 - Springer
Abstract The World Health Organization's 2022 report states that oral cancer affects 3.5
billion people worldwide and is responsible for an expected 177,757 fatalities in 2020. Oral …
billion people worldwide and is responsible for an expected 177,757 fatalities in 2020. Oral …
Deep Neural Networks for Brain Tumor Image Segmentation and Detection
Medical image analysis is a challenging and complex field these days. This discipline
focuses especially on the processing of MRI (Magnetic Resonance Imaging) images. It offers …
focuses especially on the processing of MRI (Magnetic Resonance Imaging) images. It offers …
Multi-class Brain Lesion Classification using Deep Transfer Learning with MobileNetV3
Diagnosing brain tumors is challenging for radiologists because of the significant similarities
between the tumor types. Deep learning models lack sufficient data to effectively learn the …
between the tumor types. Deep learning models lack sufficient data to effectively learn the …
Deep Learning Ensemble Method for Plant Disease Classification
Crop-borne illnesses are more resistant and frequent. Thus, producers face a problem that
impacts net productivity. If plant illnesses could be detected early and warned to farmers, this …
impacts net productivity. If plant illnesses could be detected early and warned to farmers, this …
Plant Leaf Disease Classification using Deep learning based Hybrid Approach
Plant diseases lower crop quality and quantity, making them crucial. Thus, early disease
identification and diagnosis are essential. To automate Maize leaf disease classification, we …
identification and diagnosis are essential. To automate Maize leaf disease classification, we …