Abstract: Disease classification plays a crucial role in the field of healthcare, aiding in accurate diagnosis and timely treatment. With the advancements in technology, machine learning algorithms ...

It is hard to imagine anything more fascinating than automated systems that improve their own performance. The study of learning from data is commercially and scientifically important. This course is ...

The peculiar nature of whole slide imaging (WSI), digitizing conventional glass slides to obtain multiple high resolution images which capture microscopic details of a patient’s histopathological ...

Few-shot learning (FSL) is promising in the field of medical image analysis due to high cost of establishing high-quality medical datasets. Many FSL approaches have been proposed in natural image ...

The demo partially associated with the following papers: "Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images" and "Multiclass Non-Randomized Spectral–Spatial Active ...

Abstract: This paper presents the application of the Classification Learner MATLAB tool from the Statistics and Machine Learning Toolbox for the classification process in a fingerprint recognition ...

LEARNER'S SMART ONLINE TUTORIAL LLP is a Limited Liability Partnership (LLP) governed by the LLP Act, 2008. Registered under the Registrar of Companies RoC-Mumbai, it operates as a non-government ...

Three-dimensional culture systems that allow generation of monolayered epithelial cell spheroids are widely used to study epithelial function in vitro. Epithelial spheroid formation is applied to ...