A survey of the vision transformers and their CNN-transformer based variants
Vision transformers have become popular as a possible substitute to convolutional neural
networks (CNNs) for a variety of computer vision applications. These transformers, with their …
networks (CNNs) for a variety of computer vision applications. These transformers, with their …
Lymphocyte detection for cancer analysis using a novel fusion block based channel boosted CNN
Tumor-infiltrating lymphocytes, specialized immune cells, are considered an important
biomarker in cancer analysis. Automated lymphocyte detection is challenging due to its …
biomarker in cancer analysis. Automated lymphocyte detection is challenging due to its …
MaxViT-UNet: Multi-axis attention for medical image segmentation
Since their emergence, Convolutional Neural Networks (CNNs) have made significant
strides in medical image analysis. However, the local nature of the convolution operator may …
strides in medical image analysis. However, the local nature of the convolution operator may …
Deep neural networks based meta-learning for network intrusion detection
The digitization of different components of industry and inter-connectivity among indigenous
networks have increased the risk of network attacks. Designing an intrusion detection …
networks have increased the risk of network attacks. Designing an intrusion detection …
Advancing Plant Disease Detection with Hybrid Models: Vision Transformer and CNN-Based Approaches
Early plant disease detection is of prime importance in the current era when agriculture
plays a vital role in ensuring food security and sustainable farming. Plant disease detection …
plays a vital role in ensuring food security and sustainable farming. Plant disease detection …
and CNN-Based Approaches
Early plant disease detection is of prime importance in the current era when agriculture
plays a vital role in ensuring food security and sustainable farming. Plant disease detection …
plays a vital role in ensuring food security and sustainable farming. Plant disease detection …