Syed usama Khalid Bukhari

University of Lahore | UOL · Department of Computer Science and IT

Background: Breast cancer is one of the most prevalent cause of morbidity and mortality in women all over the world. Histopathological diagnosis is a vital component in the management of breast cancer. The application of artificial intelligence is yielding promising results for the better patient care. Aim: The main aim of the present research proj...

Background: The cancer of colon is one of the important cause of morbidity and mortality in adults. For the management of colonic carcinoma, the definitive diagnosis depends on the histological examination of biopsy specimens. With the development of whole slide imaging, the convolutional neural networks are being applied to diagnose colonic carcin...

Introduction: Prostatic malignancy is a major cause of morbidity and fatality among men around the globe. More than a million new cases of prostatic cancer are diagnoses annually. The incidence of prostatic malignancy is rising and it is expected that more than two million new cases of prostatic carcinoma will be diagnosed in 2040. The application...

Aim: The study aims to assess the efficiency of deep machine learning (convolutional neural network architecture) for the diagnosis of psammomatous meningioma by evaluating the digital pathology images. Materials and Methods: A total of three hundred and twenty (320) digital images have been acquired from the anonymized hematoxylin and eosin-staine...

UNSTRUCTURED There is an exponential growth of COVID-19. The adaptation of preventive measures to limit the spread of infection among the people is the best solution to this health issue. The identification of infected cases and their isolation from healthy people is one of the essential preventive measures. In this regard, screening of the samples...

Introduction: Malignant tumors of the lung are the most important cause of morbidity and mortality due to cancer all over the world. A rising trend in the incidence of lung cancer has been observed. Histopathological diagnosis of lung cancer is a vital component of patient care. The use of artificial intelligence in the histopathological diagnosis...

There is an exponential growth of COVID-19. The adaptation of preventive measures to limit the spread of infection among the people is the best solution to this health issue. The identification of infected cases and their isolation from healthy people is one of the most important preventive measures. In this regard, screening of the samples from a...

Introduction : The main target of COVID-19 is the lungs where it may cause pneumonia in severely ill patients. Chest X- ray is an important diagnostic test to assess the lung for the damaging effects of COVID-19. Many other microbial pathogens can also cause damage to lungs leading to pneumonia but there are certain radiological features which can...

Abstract Aim: The aim of the present study is to evaluate the effectiveness of computer vision-based system for the histopathological assessment of prostatic tissue and its diagnostic accuracy for the detection of hyperplasia of the glandular component of prostate. Materials and Methods: A total of 59 digital images have been acquired from the hema...

Development of an automated PCB inspection system as per the need of industry is a challenging task. In this paper a case study is presented, to exhibit, a proposed system for an immigration process of a manual PCB inspection system to an automated PCB inspection system, with a minimal intervention on the existing production flow, for a leading aut...

In the field of Genetic Algorithms (GA), finding the best population size for a specific problem is very important issue. Normally, the search space is huge or sometimes contains nearly infinite possibilities. Choosing the right population and its size that can lead to a good solution is always difficult. In this paper, a new concept of dynamic pop...

The processing of images is currently moving from desktop implementation to mobile or embedded ones. In the case of automotive image processing, limited resources in memory or CPU frequency reduce the applicability of nowadays algorithms and possibility of real time processing. In this respect, we have proposed two methods for fast computation of e...

The paper presents, a survey of computer vision technologies used in automotive.

This thesis starts off with an introduction to some of the relevant aspects in software engineering methodologies and frameworks found to be useful in the industry and cited in scientific literature. Methodologies and frameworks pertinent to this thesis (Service Oriented Architecture) are discussed while highlighting the importance of the user requ...

Data compression is long studied and well researched discipline. Many useful techniques for data compression already exist. The paper presents a novel data compression technique; which, out performs, well established techniques, (i.e., Huffman, Run Length or LZ78 coding techniques) in terms of compression efficiency. UR coding algorithm basically g...