专题:Brain Tumor Detection and Classification

This cluster of papers focuses on the classification of brain tumor type and grade using various techniques such as MRI, deep learning, convolutional neural networks, feature extraction, and machine learning. The research aims to improve the accuracy and efficiency of brain tumor classification for better diagnosis and treatment.
最新文献
U-Net V2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation

article Full Text OpenAlex

A New Logic for Pediatric Brain Tumor Segmentation

article Full Text OpenAlex

Cfformer: Cross Cnn-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Low-Quality Medical Images

preprint Full Text OpenAlex

Optimizing Brain Tumor Classification: A Comparative Analysis of Nature-Inspired Algorithms with GLCM Features

article Full Text OpenAlex

LiTransUNet: a lightweight TransUNet for vertebral column segmentation

article Full Text OpenAlex

Vision transformer-based model can optimize curative-intent treatment for patients with recurrent hepatocellular carcinoma

article Full Text OpenAlex

Identification of patients with de novo Parkinson's Disease from chemosensory EEG signals using ICEEMDAN domain Entropy Features

article Full Text OpenAlex

A Multidimensional Particle Swarm Optimization-Based Algorithm for Brain MRI Tumor Segmentation

article Full Text OpenAlex

Advanced Deep Learning and Machine Learning Techniques for MRI Brain Tumor Analysis: A Review

review Full Text OpenAlex

SliceMamba with Neural Architecture Search for Medical Image Segmentation

article Full Text OpenAlex

近5年高被引文献
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs

article Full Text OpenAlex 804 FWCI70.648

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

book-chapter Full Text OpenAlex 763 FWCI361.822

A review of medical image data augmentation techniques for deep learning applications

review Full Text OpenAlex 656 FWCI19.134

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

book-chapter Full Text OpenAlex 630 FWCI181.899

Convolutional neural networks in medical image understanding: a survey

review Full Text OpenAlex 607 FWCI23.725

CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope

article Full Text OpenAlex 569 FWCI49.441

IEEE Transactions on Medical Imaging

paratext Full Text OpenAlex 550 FWCI0

Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images

article Full Text OpenAlex 459 FWCI41.659

Medical image segmentation using deep learning: A survey

article Full Text OpenAlex 451 FWCI60.058

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)

paratext Full Text OpenAlex 430 FWCI0