How can CNNs be used for medical image analysis?

What is a Convolutional Neural Network? In machine learning, a classifier assigns a class label to a data point. For example, an image classifier produces a ... Augmented graph representations are further input to a custom CNN deep learning architecture with a split of 70% train, 10% validation and 20% test ... With the increase in computational parallelism and low-power Integrated Circuits (ICs) design, neuromorphic technologies and machine learning algorithms ... Mar 25, 2025 ... We introduce CNN-TumorNet, an innovative method for brain tumor classification utilizing a deep convolutional neural network (CNN) for the ... Feb 1, 2023 ... A new bio-inspired deep learning model that enables generalization in dynamic lighting conditions. Layer-Wise Data-Free CNN Compression ... We present an efficient method for compressing a trained neural network without using any data. Our data-free method ... Apr 3, 2023 ... A CNN works by transforming an input image into a feature map, which is then processed through multiple convolutional and pooling layers to ... Mar 28, 2024 ... SANS-CNN is designed specifically for astronaut ophthalmic health and demonstrates robust detection of SANS-like conditions when compared to ... A regional wind wave prediction surrogate model based on CNN deep learning network ... In recent years, machine learning methods have gradually been ... Apr 12, 2025 ... CNN in deep learning excels at image classification, which involves sorting images into predefined categories. They can effectively identify ...