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A novel Swin transformer approach utilizing residual multi-layer perceptron for diagnosing brain tumors in MRI images
Serious consequences due to brain tumors necessitate a timely and accurate diagnosis. However, obstacles such as suboptimal imaging quality, issues with...
文献获取OFGST-Swin: Swin Transformer Utilizing Overlap Fusion-Based Generalized S-Transform for Respiratory Cycle Classification
Respiratory diseases pose a massive threat to human health; thus, early diagnosis and treatment are essential. Although electronic stethoscopes have sho...
Optimizing Pulmonary Chest X-ray Classification with Stacked Feature Ensemble and Swin Transformer Integration
This research presents an integrated framework designed to automate the classification of pulmonary chest x-ray images. Leveraging convolutional neural ...
Optimizing pulmonary chest x-ray classification with stacked feature ensemble and swin transformer integration
This research presents an integrated framework designed to automate the classification of pulmonary chest x-ray images. Leveraging convolutional neural ...
Swin-GA-RF: genetic algorithm-based Swin Transformer and random forest for enhancing cervical cancer classification
Cervical cancer is a prevalent and concerning disease affecting women, with increasing incidence and mortality rates. Early detection plays a crucial ro...
STMF-DRNet: A multi-branch fine-grained classification model for diabetic retinopathy using Swin-TransformerV2
Proposed STMF-DRNet:A multi-branch, fine-grained diabetic retinopathy classification model utilizing Swin-TransformerV2 for enhanced performance.Innovat...
Towards improved fundus disease detection using Swin Transformers
Ocular diseases can have debilitating consequences on visual acuity if left untreated, necessitating early and accurate diagnosis to improve patients' q...
Design and Research of an Intelligent Verification Method for Vehicle Defrosting Performance Based on Machine Vision
intelligent verification method based on machine vision.The proposed method leverages a hybrid neural network architecture,utilizing the Swin-Transforme...
High-Precision Peach Fruit Segmentation under Adverse Conditions Using Swin Transformer
In the realm of agricultural automation, the efficient management of tasks like yield estimation, harvesting, and monitoring is crucial. While fruits ar...
Swin-Tempo: Temporal-Aware Lung Nodule Detection in CT Scans as Video Sequences Using Swin Transformer-Enhanced UNet
Lung cancer is highly lethal, emphasizing the critical need for early detection. However, identifying lung nodules poses significant challenges for radi...
