Jul 25, 2018 · Firstly, convolutional neural networks and support vector machine were employed to complete the pre-classification of mice liver cirrhosis ...

Firstly, convolutional neural networks and support vector machine were employed to complete the pre-classification of mice liver cirrhosis microscopic images ...

We trained the existed convolutional neural networks by our microscopic image datasets after image preprocessing, and we extracted some texture features from ...

This study focuses on classifying liver diseases using dynamic CT scan images and deep learning techniques. The primary objective is to develop accurate and ...

Data augmentation on mice liver cirrhosis microscopic images employing convolutional neural networks and support vector machine · Longfei Zheng · Yu Wang · D. Jude ...

In this article, we try to classify mice liver microscopic images of normal, granuloma-fibrosis1 and granuloma-fibrosis2, using convolutional neural networks ( ...

Feb 10, 2024 · Anomaly detection for skin lesion images using convolutional neural network and injection of handcrafted features: a method that bypasses the preprocessing of ...

Data augmentation on mice liver cirrhosis microscopic images employing convolutional neural networks and support vector machine. Longfei Zheng; Yu Wang; Fuqian ...

Classification of mice hepatic granuloma microscopic images based on a deep convolutional neural network · 54 Citations · 39 References.

Features are extracted from liver ultrasound images, and K-means clustering is applied to group the feature vectors. The SVM classifier is used for cirrhosis ...