Automating Prostate Cancer Grading: A Novel Deep Learning Framework for Automatic Prostate Cancer Grade Assessment using Classification and Segmentation

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

Prostate Cancer (PCa) is the second most common cancer in men and affects more than a million people each year. Grading prostate based on Gleason grading system, subjective labor-intensive method for evaluating tissue samples. The variability diagnostic approaches underscores urgent need reliable methods. By integrating deep learning technologies developing automated systems, precision can be improved, human error minimized. present work introduces three-stage framework-based innovative deep-learning system assessing PCa severity using PANDA challenge dataset. After meticulous selection process, 2699 usable cases were narrowed down from initial 5160 after extensive data cleaning. There are three stages proposed framework: classification of grades neural networks (DNNs), segmentation grades, computation International Society Urological Pathology (ISUP) machine classifiers. Four classes patches classified segmented (benign, 3, 4, 5). Patch sampling at different sizes (500 × 500 1000 pixels) was used to optimize processes. performance network enhanced by Self-organized operational (Self-ONN) DeepLabV3 architecture. Based these predictions, distribution percentages grade within whole slide images (WSI) calculated. These features then concatenated into classifiers predict final ISUP grade. EfficientNet_b0 achieved highest F1-score 83.83% classification, while + architecture self-ONN EfficientNet encoder Dice Similarity Coefficient (DSC) score 84.9% segmentation. Using RandomForest (RF) classifier, framework quadratic weighted kappa (QWK) 0.9215. Deep frameworks being developed automatically have shown promising results. In addition, it provides prospective approach prognostic tool that produce clinically significant results efficiently reliably. Further investigations needed evaluate framework's adaptability effectiveness across various clinical scenarios.

Language: Английский

Effect of Integrated Marketing Communication on Brand Recognition of Upscale Hotels in Ghana

Deleted Journal, Journal Year: 2025, Volume and Issue: 3(1), P. 71 - 83

Published: May 5, 2025

Research background: The scientific article examines a current and practically significant aspect of marketing communication, which is crucial for the success hotel brands in competitive market. It provides new insights into use communication channels within Ghana's specific environment, may differ from established findings developed countries, thereby enriching both theory practice field marketing. Purpose article: study investigates role integrated its effects on brand recognition among upscale hotels Accra. Methods: An interpretive philosophy research – qualitative approach using cross-sectional design was adopted study. in-depth interview guide used to elicit information participants. Thematic analysis employed during study's data analysis. Findings & Value added: revealed two major categories by hotels. shown that managers these quality services, facility get recognized. Furthermore, content calendars customer feedback helped them post right message their websites monitor channels. also concluded participants interact with staff guests. again services loyalty programs were clients, as well market impacts (KPIs) measure know how doing. recommended should invest more digital infrastructure enhance excellent guest service feedback. Also, it continue providing luxurious amenities retention. highlights enhancing Accra, Ghana. Its provide practical implications aiming strategically select optimize strengthen presence

Language: Английский