GitHub

YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection.

"Exploring the frontiers of Dynamic Intelligence in YOLO." This work represents our passionate exploration into the evolution of Real-Time Object Detection (RTOD). To the best of our knowledge, ...
IEEE

Brain Tumor Segmentation and Classification Using YOLO-Based Deep Learning Framework

Abstract: Timely with precise detection of tumors of brain provides a pivotal role in clinical decision-making as well as improving patient outcomes. Conventional deep learning approaches often adopt ...
Frontiers

XAI-MRI: an ensemble dual-modality approach for 3D brain tumor segmentation using magnetic resonance imaging

Brain tumor segmentation from Magnetic Resonance Images (MRI) presents significant challenges due to the complex nature of brain tumor tissues. This complexity poses a significant challenge in ...
Europe PMC

Two-headed UNetEfficientNets for parallel execution of segmentation and classification of brain tumors: incorporating postprocessing techniques with connected component labelling.

The purpose of this study is to develop accurate and automated detection and segmentation methods for brain tumors, given their significant fatality rates, with aggressive malignant tumors like ...
scienceopen.com

Building an Acute Ischemic Stroke Identification Model Using a Deep Learning Technique

Acute ischemic stroke (AIS) is a leading cause of mortality and disability. Over the past several decades, researchers proposed multiple techniques to enhance the effectiveness of AIS diagnosis.
IEEE

Brain Tumor Detection Using YOLOv5 and Faster R-CNN

Abstract: Brain tumors are viewed as quite possibly the most hazardous problem in the world. Brain tumors spread quickly, and if they are not treated promptly, the patient's chances of survival are ...
Frontiers

scSE-NL V-Net: A Brain Tumor Automatic Segmentation Method Based on Spatial and Channel “Squeeze-and-Excitation” Network With Non-local Block

Intracranial tumors are commonly known as brain tumors, which can be life-threatening in severe cases. Magnetic resonance imaging (MRI) is widely used in diagnosing brain tumors because of its ...
Europe PMC

Artificial Convolutional Neural Network in Object Detection and Semantic Segmentation for Medical Imaging Analysis.

In the era of digital medicine, a vast number of medical images are produced every day. There is a great demand for intelligent equipment for adjuvant diagnosis to assist medical doctors with ...