Lightweight EfficientNetB3 Model Based on Depthwise Separable Convolutions for Enhancing Classification of Leu

Project Code :TCMAPY1162

Objective

The study develops a lightweight variant of EfficientNetB3 for automated leukemia detection from WBC images. It integrates depthwise separable convolutions to streamline model parameters while preserving crucial features. A comprehensive dataset of annotated WBC images is curated for model training. Through extensive experimentation, the proposed model's efficacy is evaluated in achieving competitive performance metrics such as accuracy, precision, and recall compared to conventional architectures. The goal is to advance efficient and accurate leukemia detection using deep learning techniques, enhancing medical diagnostics for scalable solutions in clinical practice.

Abstract

Make Auto Pedia is a comprehensive online resource for all things automotive. The website provides a wide range of information on cars, trucks, motorcycles, and other vehicles, including technical specifications, performance data, and reviews. With a user-friendly interface and a wealth of accurate and up-to-date information, Make Auto Pedia is an essential tool for anyone interested in cars and driving. Whether you're a car enthusiast, a mechanic, or just looking to buy your first vehicle, Make Auto Pedia has everything you need to make informed decisions and stay up-to-date on the latest trends and technologies in the automotive industry.

Keywords: online resource, mechanic, automotive industry.

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