[HTML][HTML] An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
Brain tumors are among the most fatal and devastating diseases, often resulting in
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …
A dependable hybrid machine learning model for network intrusion detection
Network intrusion detection systems (NIDSs) play an important role in computer network
security. There are several detection mechanisms where anomaly-based automated …
security. There are several detection mechanisms where anomaly-based automated …
Predicting colorectal cancer using machine and deep learning algorithms: Challenges and opportunities
D Alboaneen, R Alqarni, S Alqahtani… - Big Data and Cognitive …, 2023 - mdpi.com
One of the three most serious and deadly cancers in the world is colorectal cancer. The most
crucial stage, like with any cancer, is early diagnosis. In the medical industry, artificial …
crucial stage, like with any cancer, is early diagnosis. In the medical industry, artificial …
A review on computational methods for breast cancer detection in ultrasound images using multi-image modalities
Breast cancer is a kind of cancer that develops and propagates from tissues of the breast
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …
[HTML][HTML] Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor
Early diagnosis of brain tumors is critical for enhancing patient prognosis and treatment
options, while accurate classification and segmentation of brain tumors are vital for …
options, while accurate classification and segmentation of brain tumors are vital for …
[HTML][HTML] A robust hybrid machine learning model for Bengali cyber bullying detection in social media
Social networking platforms give users countless opportunities to share information,
collaborate, and communicate positively. The same platform can be extended to a fabricated …
collaborate, and communicate positively. The same platform can be extended to a fabricated …
Lung cancer detection from CT scans using modified DenseNet with feature selection methods and ML classifiers
Lung cancer is a highly life-threatening disease worldwide, and detection is crucial. In this
study, the Kaggle chest CT-scan images dataset was used to identify lung cancer in four …
study, the Kaggle chest CT-scan images dataset was used to identify lung cancer in four …
[HTML][HTML] DeepCrop: Deep learning-based crop disease prediction with web application
Agriculture plays a significant role in every nation's economy by producing crops. Plant
disease identification is one of the most important aspects of maintaining an agriculturally …
disease identification is one of the most important aspects of maintaining an agriculturally …
CNN based on transfer learning models using data augmentation and transformation for detection of concrete crack
Cracks in concrete cause initial structural damage to civil infrastructures such as buildings,
bridges, and highways, which in turn causes further damage and is thus regarded as a …
bridges, and highways, which in turn causes further damage and is thus regarded as a …
A hybrid dependable deep feature extraction and ensemble-based machine learning approach for breast cancer detection
Breast cancer is a prevalent and life-threatening disease that requires effective detection
and diagnosis methods to improve patient outcomes. Deep learning (DL) and machine …
and diagnosis methods to improve patient outcomes. Deep learning (DL) and machine …