1 Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain 2 Hospital de Tortosa Verge de la Cinta, Institut Catala de la Salut, Tortosa, Spain Early ...
In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...
Background: Accurate segmentation and classification of carotid plaques are critical for assessing stroke risk. However, conventional methods are hindered by manual intervention, inter-observer ...
Breast cancer remains one of the most prevalent diseases that affect women worldwide. Making an early and accurate diagnosis is essential for effective treatment. Machine learning (ML) techniques have ...
Large granular lymphocytic leukemias (LGLLs) are a heterogeneous group of rare chronic lymphoproliferative disorders characterized by the clonal proliferation of cytotoxic lymphocytes. Among them, ...
Binary classification of Diabetic Retinopathy using SVM in MATLAB with fundus image features. This repository compares the performance of Adaline, Logistic Regression, and Perceptron models on binary ...
Abstract: Biological diversity is threatened by invasive alien plant species (IAPs) that have spread outside of their natural range. They are not natural to the ecosystem and may cause economic or ...
Abstract: The microscopic smear images of blood are the images obtained through blood tests. So, by obtaining these images through blood tests, we can be identifying the number of diseases. As these ...
Built a deep CNN for multi-class sports image classification using a Kaggle dataset. Tuned hyperparameters (layers, dropout, optimizer, batch size, learning rate, weight decay) and trained with early ...
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