This study presents a brain tumor classification system utilizing transfer learning with the MobileNetV2 architecture. The system is designed to classify brain MRI images into four categories: glioma, meningioma, pituitary tumor, and no tumor. The proposed model achieved a test accuracy of 93.36% using a dataset of 7023 MRI images. The results confirm that MobileNetV2, when fine-tuned, offers a computationally efficient yet highly accurate solution suitable for clinical application and edge device deploymen
| Mualliflar | Arabboev , Mukhriddin |
|---|---|
| Jurnal | Techscience.uz - техника фанлари долзарб масалалри |
| Nashr sanasi | 2025-08-11 |
| Jild | 3 |
| Son | 5 |
| Betlar | 51-63 |
| Til | Ingliz |
| DOI | 10.47390/ts-v3i5y2025n8 |
DOI: 10.47390/ts-v3i5y2025n8 · Maqolaning asl sahifasi
brain Tumor Classification, Deep Learning, MobileNetV2, MRI, Transfer Learning, miya o‘simtasi tasnifi, Chuqur o‘qitish, MobileNetV2, MRT, Transfer learning
This article investigates the dynamic characteristics of key mechanical components of a ball mill operated at the enterprises of the Navoi Mining and Metallurgical Combine (NMMC). The vibrational loads acting on the…
Typically, a review includes not only an overall rating but also ratings for several aspects and accompanying text. The rating is considered a numerical representation of the author's overall satisfaction. Although the…
This study focuses on welding dissimilar metals, specifically ferritic alloy-steel and nickel alloys, using GTAW and SMAW with ERNiCr-3 filler. Due to differing material properties, joining is challenging. Mechanical…
This article analyzes the physical properties of surface waves and their significance in seismology. Surface waves are generated as a result of the impact of mechanical objects on the surface and consist of a…
This paper presents the minimum design requirements for bellows expansion joints used as integral components of heat exchangers and other pressure vessels. These requirements apply to single- or multi-layer bellows…
This paper is about the ARIMA (Auto-Regressive Integrated Moving Average) model to forecast Uzbekistan’s GDP for the period 2025–2030, with country’s economic trajectory . GDP is a critical measure of economic activity…
This article presents the results of research on the purification of platinum powder from impurities. The optimal technological parameters were determined based on the results of removing palladium and other non-ferrous…
The article examines modern methods of determining coordinates using unmanned aerial vehicles. RTK, PPK, GNSS and SLAM technologies are analyzed, formulas for calculating coordinates and errors are given. The prospects…
This paper presents the results of research aimed at studying the potential for metal recovery from oxidized copper ores of the “Kalmakyr” deposit. The distribution of metals in a sample of oxidized copper ore was…
This article explores modern approaches in the field of digital image processing, focusing on methods for noise detection and removal. It outlines the causes of noise in images and describes the main noise models…
Techscience.uz - техника фанлари долзарб масалалри — barcha maqolalar