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Brain tumor multi classification and segmentation in MRI images using deep learning
The segmentation model is based on the U-Net architecture and is trained to accurately segment the tumor from the MRI images.
Brain Tumor classification and Segmentation using Deep Learning
In this paper, we present a machine learning-based system designed to assist healthcare professionals in the classification and diagnosis of brain tumors using MRI images.
An ENAS Based Approach for Constructing Deep Learning Models for Breast Cancer Recognition from Ultrasound Images
Our study demonstrates that the ENAS approach to CNN model design is a promising direction for classifying ultrasound images of breast lesions.
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