Explanation-driven deep learning model for prediction of brain tumour status using MRI image data
Cancer research has seen explosive development exploring deep learning (DL) techniques
for analysing magnetic resonance imaging (MRI) images for predicting brain tumours. We …
for analysing magnetic resonance imaging (MRI) images for predicting brain tumours. We …
Accurate deep learning-based gastrointestinal disease classification via transfer learning strategy
The automatic detection of diseases and gastrointestinal tract anomalies is a challenge for
medical experts, affecting patient treatment decisions. Deep learning emerges as a new tool …
medical experts, affecting patient treatment decisions. Deep learning emerges as a new tool …
[图书][B] Landscape of Next Generation Sequencing Using Pattern Recognition: Performance Analysis and Applications
This book focuses on an eminent technology called next generation sequencing (NGS)
which has entirely changed the procedure of examining organisms and will have a great …
which has entirely changed the procedure of examining organisms and will have a great …
Brain Tumor Classification with Improved Accuracy in MRI Pictures Using CNN and its Comparison with SVM
T Goswami, S Bhukra, IS Abdulrahman… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The study's main objective is to detect brain tumors more precisely in MRI images using
CNN and comparing it to SVM. Materials and Methods: We gathered 40 examples of varied …
CNN and comparing it to SVM. Materials and Methods: We gathered 40 examples of varied …
Improved Feature Extraction and Selection Method for Brain Tumor Detection
M Amalmary, A Prakash - International journal of health sciences - neliti.com
Medical Image processing is a vital research area in the field of medical and computing
technology. Among this Feature extraction and feature selection are the main tasks in pre …
technology. Among this Feature extraction and feature selection are the main tasks in pre …