International Conference on Computer and Knowledge Engineering

Home / 15th International Conference on Computer and Knowledge Engineering

Advancing Brain Tumor Detection via ViRCNN: A Fusion of Vision Transformers and Faster R-CNN

Authors :

Mehrshad Momen-Tayefeh¹ S. AmirAli GH. Ghahramani² Ali Mohammad Afshin Hemmatyar³

1- Department of Computer Engineering, Sharif University of Technology, Tehran, Iran. 2- Department of Computer Engineering, Sharif University of Technology, International Campus Kish Island, Iran. 3- Department of Computer Engineering, Sharif University of Technology, Tehran, Iran

Keywords :

Deep learning،Vision Transformer،Faster R-CNN،Brain Tumor

Abstract :

Accurate brain tumor detection is vital for effective diagnosis and treatment. This paper presents ViRCNN, a hybrid model that integrates Faster R-CNN and Vision Transformers (ViT) to enhance MRI-based tumor detection. Using the Br35H dataset of 801 MRI images, ViRCNN achieves a 0.9% improve- ment in MAP50 while maintaining a compact 19M-parameter architecture. Compared to existing models exceeding 80M pa- rameters, ViRCNN offers improved detection precision with significantly lower computational demands, making it suitable for real-time clinical deployment

List of archived papers

Enhanced Melanoma Detection: An Improved Deformable DETR Model with Efficient Channel Attention

Amirreza Rouhbakhshmeghrazi - Shayan Nalbandian - Sheida Shadman - Mohammad Reza Hassannezhad - Shuyuan Yang - Bo Li

DPRNN-FORMER: AN EFFICIENT WAY TO DEAL WITH BLIND SOURCE SEPARATION

Ramin Ghorbani - Sajad Haghzad Klidbary

Multi-Digit Handwritten Recognition: A CNN-LSTM Hybrid Approach with Wavelet Transforms

Amin Kazempour - Jafar Tanha

Adaptive Multi-Scale Attentional Network for Semantic Segmentation of Remote Sensing Images

Melika Zare - Sattar Hashemi

Class-Aware Balanced Point Cloud Donwsampling for Efficient Large-Scale 3D Scene Understanding

Mohammad Yousefipour - Marjan Naderan - Morteza Jaderyan

Introducing E4MT and LMBNC: Persian pre-processing utilities

Zakieh Shakeri - Mehran Ziabary - Behrooz Vedadian - Fatemeh Azadi - Saeed Torabzadeh - Arian Atefi

Leveraging the Power of Object Detection Models in Identifying Litter for a Significant Reduction in Environmental Pollution

Lim Zhen Xian - Ervin Gubin Moung - Jason Teo Tze Wi - Nordin Saad - Farashazillah Yahya - Tiong Lin Rui - Ali Farzamnia

Deep Deterministic Policy Gradient in Acoustic To Articulatory inversion

Farzane Abdoli - Hamid Sheikhzade - Vahid Pourahmadi

Efficient T-Count Fault-tolerant Quantum Clifford+T Multiplexer

Negin Mashayekhi - Shekoofeh Moghimi - Mohammad Reza Reshadinezhad

Identification of Botnets and Nodes Attacking Smart Cities by Majority Voting Mechanism and Feature Selection

Maliheh Araghchi - Nazbanoo Farzaneh

more

Samin Hamayesh - Version 43.7.0