Ali Sayyed’s scientific contributions

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (2)


Figure 1: Proposed Methodology for Urological Stone Detection Using ANN This Figure.1 outlines the proposed methodology for urological stone detection using artificial neural networks (ANN). The process begins with CT scan image processing, which is divided into steps like body segmentation, image correction, and multi-window coding. Following this, ANN-1 defines the urinary tract by identifying the upper edge of the kidneys and the inferior edge of the bladder. In the final step, ANN-2 is used for stone recognition, determining whether a stone is found or not based on the processed images. Modern studies have achieved up to 97% accuracy in diagnosing prostate cancer based on digitized histological studies, while other research has shown that machine learning
Figure 3: Normal CT Scan of Urology
Figure 4: CT Scan Showing No Stone
Figure 8: ROC Curve for Post-Surgical Outcome Prediction
Comparative Overview of Machine Learning Models in Urology
Applications of Neural Networks and Machine Learning Techniques in Medicine and Urology
  • Article
  • Full-text available

February 2025

·

17 Reads

The Asian Bulletin of Big Data Management

Shujaat Ali Rathore

·

Muhammad Hammad u Salam

·

Ali Sayyed

·

[...]

·

The use of Artificial Intelligence, especially machine learning and artificial neural networks, has dramatically increased in urology, assisting in innovative ways for diagnosis, prognosis, and treatment planning. This paper presents an up-to-date review of AI advances in the field of urology that pertain to its imaging aspects, particularly regarding the diagnosis of prostate cancer, kidney stones, and bladder cancer. The deep learning methods, especially convolutional neural networks, proved to be very effective in many medical imaging tasks, such as automated abnormal growth detection, organ segmentation, etc. Additionally, deep learning systems have performed well in predicting a patient’s outcome, including post-operative complications and recovery. Nevertheless, the progress made greatly differs from the goals set, and AI’s integration into clinical practice remains an unmet need due to obstacles posed by inefficient datasets and the opacity of some AI algorithms.This paper also discusses the key challenges in implementing AI tools in urology, as well as the potential for future research to enhance the accuracy, interpretability, and clinical applicability of AI-driven solutions. Ultimately, AI is poised to play a transformative role in urology, offering the potential for more personalized, efficient, and precise patient care.

Download

Critical Evaluation of the Foundations of Equality in Bisexual Education Based on the Moral Teachings of Islam

July 2024

·

45 Reads

The new approach to bisexual education defines a new form of gender role that requires female and male characteristics for both sexes equally. One of the most important principles that is emphasized in this approach is "equality". The basis of Islamic ethics in dealing with male and female gender is paying attention to the differences and roles according to the female and male genetic characteristics. The type of this study is library research. It evaluates and criticizes the basis of equality in bisexual education through a descriptive and analytical method, with an approach to Islamic ethics based on the Islamic sources, as well as the sources related to the main subject, including psychology, sociology and women's studies. The findings of this study show that the Islamic ethics considers men and women, due to their commonalities in terms of value, as equal in value, but regards them as having special duties due to their difference, talents and abilities-as a natural right. Paying attention and observing them will lead to the achievement of the happiness for the individual and the society. Islamic ethics does not accept such similarity based on the men's and women's genetic equality in creation.