MRI-image based brain tumor detection and classification using CNN-KNN

S Shanjida, MS Islam… - 2022 IEEE IAS global …, 2022 - ieeexplore.ieee.org
A brain tumor is the topmost dangerous disease that can be a cause of death in humans.
Machine learning tools are generally used for medical science brain tumor detection and …

RETRACTED ARTICLE: Application of artificial intelligence technology in financial data inspection and manufacturing bond default prediction in small and medium …

C Zhang, F Zhang, N Chen, H Long - Operations Management Research, 2022 - Springer
This work aims to solve the problem that the traditional deep learning model has low
prediction accuracy and is not suitable for enterprise default risk prediction. Firstly, it …

[HTML][HTML] Classification of hepatic cavernous hemangioma or hepatocellular carcinoma using a convolutional neural network model

Y Cao, J Yu, H Zhang, J Xiong, Z Luo - Journal of Gastrointestinal …, 2022 - ncbi.nlm.nih.gov
Background Computed tomography (CT) is a common imaging technique for diagnosis of
liver tumors. However, the intensity similarity on non-contrast CT images is small, making it …

Multimodal Brain Tumor Classification Using Convolutional Tumnet Architecture

MP Usha, G Kannan… - Behavioural Neurology, 2024 - Wiley Online Library
The most common and aggressive tumor is brain malignancy, which has a short life span in
the fourth grade of the disease. As a result, the medical plan may be a crucial step toward …

Segmentation of brain tumours from MRI images using CNN

D Ilango, R Sulthana - Inventive Systems and Control: Proceedings of …, 2023 - Springer
Identification of brain tumours in the early stage is key to proper treatment and diagnosis. It
can be classified as malignant or benign based on the aggressiveness of the tumour. To …