CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Introduction: Early diagnosis of Alzheimer's disease (AD) remains challenging due to the high similarity among AD, mild cognitive impairment (MCI), and cognitively normal (CN) individuals, as well as ...

This project implements an end-to-end pipeline for automatic anatomical landmark detection in chest X-ray images, achieving clinical excellence with 8.13 pixels ...

1 State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, China 2 College of Geophysics, Chengdu University of Technology, Chengdu, China ...

Abstract: Prostate cancer diagnosis has been transformed by the integration of machine learning techniques, particularly deep learning models. This study focuses on utilizing ResNet for Gleason score ...

This repo is linked to the Heroku platform in order to host the Image Classification app developed using Flask and pre-trained Tensorflow ResNet model on ImageNet ...

Abstract: Fungal species classification is an important task with broad implications for medicine, agriculture, and ecology. Even though they work well, traditional identification techniques ...

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