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AI model achieves high accuracy for liver tumor segmentation
Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of ...
Hosted on MSN1mon
Image Classification using CNN Keras ¦ Full implementation
Image Classification using CNN Keras ¦ Full implementation Posted: 7 May 2025 | Last updated: 7 May 2025 Welcome to Learn with Jay – your go-to channel for mastering new skills and boosting ...
IEEE3mon
Multi-Label Auroral Image Classification Based on CNN and Transformer
To fully exploit the physical information embedded in auroral images, this paper proposes a multi-label auroral classification method, termed MLAC, which integrates convolutional neural network (CNN .
Scientific Research Publishing9mon
Performance Comparison of Vision Transformer- and CNN-Based Image Classification Using Cross Entropy: A Preliminary Application to Lung Cancer Discrimination from CT Images ()
In image classification tasks using ViTs ... input image into multiple flattened patches. To retain structural and spatial information, positional embeddings are then added to these patches. This ...
Frontiers1y
COVID-19 lateral flow test image classification using deep CNN and StyleGAN2
This study presents a deep Convolutional Neural Network (CNN) model for automated COVID-19 RATD image classification ... using StyleGAN2. Complex image dataset comprise of images that are more ...
IEEE1y
TS-CNN: A Three-Tier Self-Interpretable CNN for Multi-Region Medical Image Classification
This paper proposes a novel three-tier self-interpretable DCNN (TS-CNN) architecture for multi ... blob dataset and a publicly available skin lesion PAD-UFES-20 dataset, demonstrating its potential ...
GitHub2y
ESC-50: Dataset for Environmental Sound Classification
The dataset consists of 5-second-long recordings organized into 50 semantical classes (with 40 examples per class ... Audio Classification on Target Applications CNN model pretrained on AudioSet 92.32 ...